Changeset 68

User picture

Author: Slipy90

(2011/10/27 12:31) 7 months ago

GUI ÁTALAKÍTÁS ELŐTT II.

Affected files

Added trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/bin/Debug/ZedGraph.xml

Show contents

Added trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/bin/Release/JPS_PuzzleDetectorWithCam.vshost.exe.manifest

Show contents

Updated trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/ImageFunction.cs Download diff

6768
41
			set { ImageFunction.thresholdHighValue = value; }
41
			set { ImageFunction.thresholdHighValue = value; }
42
		}
42
		}
43
43



44
        public static Image<Gray, Byte> BinarizeHSV(Image<Bgr, Byte> srcImage, byte thresholdVal)
44
        public static Image<Gray, Byte> Binarize(Image<Bgr, Byte> srcImage, byte thresholdVal)



45
        {
45
        {



46
            Image<Gray, Byte> dstImage = new Image<Gray, byte>(srcImage.Size);
46
            Image<Gray, Byte> dstImage = new Image<Gray, byte>(srcImage.Size);



47
47



48
            Image<Luv, Byte> srcImageHSV = new Image<Luv, byte>(srcImage.Bitmap);
48
            Image<Luv, Byte> srcImageHSV = new Image<Luv, byte>(srcImage.Bitmap);



49
49



50
            Image<Gray, Byte>[] channels = srcImageHSV.Split();
50
            Image<Gray, Byte>[] channels = srcImageHSV.Split();



51
            Image<Gray, Byte> imgSat = channels[1];
51
            Image<Gray, Byte> imgMask = channels[1];



52
52



53
            dstImage = imgSat
53
            dstImage = imgMask



54
                        .ThresholdBinaryInv(new Gray(thresholdVal), new Gray(255))
54
                        .ThresholdBinaryInv(new Gray(thresholdVal), new Gray(255))



55
                        .SmoothMedian(7)
55
                        .SmoothMedian(7)



56
                        //.Erode(1)
56
                        //.Erode(1)


...
...
592
            return new Image<Bgr, byte>(dstImage);
592
            return new Image<Bgr, byte>(dstImage);



593
        }
593
        }



594
        #endregion
594
        #endregion



595



595
    }
596
    }



596
597



597
    public enum CameraMoveDirection
598
    public enum CameraMoveDirection





          

  Updated
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/MainForm.cs  Download diff




      
      
6768
90
		private void timerOriginal_Tick(object sender, EventArgs e) 
90
		private void timerOriginal_Tick(object sender, EventArgs e) 



91
		{
91
		{



92
            // Élő képhez ez kell
92
            // Élő képhez ez kell



93
            capture.SetCaptureProperty(Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_WIDTH, 1280);
93
            //capture.SetCaptureProperty(Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_WIDTH, 1280);



94
            capture.SetCaptureProperty(Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_HEIGHT, 720);
94
            //capture.SetCaptureProperty(Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_HEIGHT, 720);



95
            captureFrame = capture.QueryFrame(); captureGrayFrame = capture.QueryGrayFrame();
95
            //captureFrame = capture.QueryFrame(); captureGrayFrame = capture.QueryGrayFrame();



96
96



97
            //if (firstDetect)
97
            //if (firstDetect)



98
            //{
98
            //{


...
...
108
                histoForm.Image = captureGrayFrame;
108
                histoForm.Image = captureGrayFrame;



109
			}
109
			}



110
110



111
            //if (rBtnThresholdSimple.Checked)
111
            imgBinarized = ImageFunction.Binarize(captureFrame, 152);



112
            //    imgBinarized = ImageFunction.BinarizeSimple(captureGrayFrame);
112
            picBoxCamBinarized.Image = captureFrame.Or(imgBinarized.Convert<Bgr, Byte>());



113
            //else if (rBtnThresholdDouble.Checked)



114
            //    imgBinarized = ImageFunction.BinarizeDouble(captureGrayFrame);



115
            //else if (rBtnThresholdOtsu.Checked)



116
            //    imgBinarized = ImageFunction.BinarizeOtsu(captureGrayFrame);



117
113



118
            //picBoxCamBinarized.Image = imgBinarized;



119



120
            imgBinarized = ImageFunction.BinarizeHSV(captureFrame, 152);



121
            picBoxCamBinarized.Image = imgBinarized;



122



123
            //imgCannyEdgeDetected = ImageFunction.Canny(captureGrayFrame);
114
            //imgCannyEdgeDetected = ImageFunction.Canny(captureGrayFrame);



124
            //if (numUpDownDilateIter.Value > 0 && numUpDownErodeIter.Value == 0)
115
            //if (numUpDownDilateIter.Value > 0 && numUpDownErodeIter.Value == 0)



125
            //{
116
            //{


...
...
212
                picBoxCamOriginal.Image = captureFrame;
203
                picBoxCamOriginal.Image = captureFrame;



213
                //firstCenterPoint = true;
204
                //firstCenterPoint = true;



214
            }
205
            }



215



216
            //picBoxCamBinarized.Image = ImageFunction.GetCorners(captureGrayFrame);



217
            //try



218
            //{



219
            //    //rawContours = ImageFunction.GetContours(imgCannyEdgeDetected, true, .5);



220
            //    PuzzleFunction.Cut(captureFrame, rawContours);



221
            //}



222
            //catch (ArgumentException ex)



223
            //{



224
            //    ErrorMessage(ex.Message);



225
            //}



226



227
            //lbPuzzlePieces.DataSource = PuzzleFunction.PuzzlePieces.ToArray();



228
            //picBoxCamOriginal.Image = captureFrame;



229



230
			//lbPuzzlePieces.DataSource = PuzzleFunction.PuzzlePieces.ToArray();



231
		}
206
		}



232
		#endregion
207
		#endregion



233
208


...
...
366
                for (int i = 0; i < currPiece.Sides.Count; i++)
341
                for (int i = 0; i < currPiece.Sides.Count; i++)



367
                {
342
                {



368
                    if (i == 0)
343
                    if (i == 0)



369
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 3), new Bgr(0, 255, 0), 1);
344
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 5), new Bgr(0, 255, 0), -1);



370
                    if (i == 1)
345
                    if (i == 1)



371
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 3), new Bgr(255, 0, 0), 1);
346
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 5), new Bgr(255, 0, 0), -1);



372
                    if (i == 2)
347
                    if (i == 2)



373
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 3), new Bgr(0, 0, 255), 1);
348
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 5), new Bgr(0, 0, 255), -1);



374
                    if (i == 3)
349
                    if (i == 3)



375
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 3), new Bgr(255, 255, 0), 1);
350
                        tmp.Draw(new CircleF(currPiece.Sides[i].Corners[0], 5), new Bgr(255, 255, 0), -1);



376
                }
351
                }



377
                picBoxPuzzlePiece.Image = tmp;
352
                picBoxCannyEdge.Image = tmp;



378
353



379
                //picBoxCannyEdge.Image = PuzzlePiece.GenerateSignatureImage(currPiece.Signature);
354
                //picBoxCannyEdge.Image = PuzzlePiece.GenerateSignatureImage(currPiece.Signature);



380
355





          

  Updated
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/MainForm.Designer.cs  Download diff




      
      
6768
34
            this.kilépésToolStripMenuItem = new System.Windows.Forms.ToolStripMenuItem();
34
            this.kilépésToolStripMenuItem = new System.Windows.Forms.ToolStripMenuItem();



35
            this.menuHisztogram = new System.Windows.Forms.ToolStripMenuItem();
35
            this.menuHisztogram = new System.Windows.Forms.ToolStripMenuItem();



36
            this.statusStrip = new System.Windows.Forms.StatusStrip();
36
            this.statusStrip = new System.Windows.Forms.StatusStrip();



37
            this.picBoxCannyEdge = new Emgu.CV.UI.ImageBox();



38
            this.timerOriginal = new System.Windows.Forms.Timer(this.components);
37
            this.timerOriginal = new System.Windows.Forms.Timer(this.components);



39
            this.groupBox1 = new System.Windows.Forms.GroupBox();
38
            this.groupBox1 = new System.Windows.Forms.GroupBox();



40
            this.btnDetect = new System.Windows.Forms.Button();
39
            this.btnDetect = new System.Windows.Forms.Button();


...
...
42
            this.picBoxCamOriginal = new Emgu.CV.UI.ImageBox();
41
            this.picBoxCamOriginal = new Emgu.CV.UI.ImageBox();



43
            this.groupBox2 = new System.Windows.Forms.GroupBox();
42
            this.groupBox2 = new System.Windows.Forms.GroupBox();



44
            this.groupBox4 = new System.Windows.Forms.GroupBox();
43
            this.groupBox4 = new System.Windows.Forms.GroupBox();



45
            this.labThresholdValHigh = new System.Windows.Forms.Label();



46
            this.numUpDownThresholdHigh = new System.Windows.Forms.NumericUpDown();



47
            this.labThresholdValLow = new System.Windows.Forms.Label();
44
            this.labThresholdValLow = new System.Windows.Forms.Label();



48
            this.numUpDownThresholdLow = new System.Windows.Forms.NumericUpDown();
45
            this.numUpDownThresholdLow = new System.Windows.Forms.NumericUpDown();



49
            this.groupBox3 = new System.Windows.Forms.GroupBox();



50
            this.rBtnThresholdOtsu = new System.Windows.Forms.RadioButton();



51
            this.rBtnThresholdDouble = new System.Windows.Forms.RadioButton();



52
            this.rBtnThresholdSimple = new System.Windows.Forms.RadioButton();



53
            this.picBoxCamBinarized = new Emgu.CV.UI.ImageBox();
46
            this.picBoxCamBinarized = new Emgu.CV.UI.ImageBox();



54
            this.groupBox5 = new System.Windows.Forms.GroupBox();



55
            this.label3 = new System.Windows.Forms.Label();



56
            this.numericUpDown1 = new System.Windows.Forms.NumericUpDown();



57
            this.groupBox6 = new System.Windows.Forms.GroupBox();



58
            this.numUpDownErodeIter = new System.Windows.Forms.NumericUpDown();



59
            this.numUpDownDilateIter = new System.Windows.Forms.NumericUpDown();



60
            this.label2 = new System.Windows.Forms.Label();



61
            this.label1 = new System.Windows.Forms.Label();



62
            this.gBoxPuzzlePieces = new System.Windows.Forms.GroupBox();
47
            this.gBoxPuzzlePieces = new System.Windows.Forms.GroupBox();



63
            this.txtPuzzleSideType = new System.Windows.Forms.TextBox();
48
            this.txtPuzzleSideType = new System.Windows.Forms.TextBox();



64
            this.label4 = new System.Windows.Forms.Label();
49
            this.label4 = new System.Windows.Forms.Label();


...
...
68
            this.btnAssembling = new System.Windows.Forms.Button();
53
            this.btnAssembling = new System.Windows.Forms.Button();



69
            this.label5 = new System.Windows.Forms.Label();
54
            this.label5 = new System.Windows.Forms.Label();



70
            this.labCamMoveDirection = new System.Windows.Forms.Label();
55
            this.labCamMoveDirection = new System.Windows.Forms.Label();



56
            this.histogram = new Emgu.CV.UI.HistogramBox();



57
            this.numUpDownThresholdHigh = new System.Windows.Forms.NumericUpDown();



58
            this.labThresholdValHigh = new System.Windows.Forms.Label();



59
            this.rBtnThresholdSimple = new System.Windows.Forms.RadioButton();



60
            this.rBtnThresholdDouble = new System.Windows.Forms.RadioButton();



61
            this.rBtnThresholdOtsu = new System.Windows.Forms.RadioButton();



62
            this.groupBox3 = new System.Windows.Forms.GroupBox();



71
            this.labTeszt = new System.Windows.Forms.Label();
63
            this.labTeszt = new System.Windows.Forms.Label();



72
            this.histogram = new Emgu.CV.UI.HistogramBox();
64
            this.picBoxCannyEdge = new Emgu.CV.UI.ImageBox();



65
            this.groupBox6 = new System.Windows.Forms.GroupBox();



66
            this.label1 = new System.Windows.Forms.Label();



67
            this.label2 = new System.Windows.Forms.Label();



68
            this.numUpDownDilateIter = new System.Windows.Forms.NumericUpDown();



69
            this.numUpDownErodeIter = new System.Windows.Forms.NumericUpDown();



70
            this.numericUpDown1 = new System.Windows.Forms.NumericUpDown();



71
            this.label3 = new System.Windows.Forms.Label();



72
            this.groupBox5 = new System.Windows.Forms.GroupBox();



73
            this.menuStrip.SuspendLayout();
73
            this.menuStrip.SuspendLayout();



74
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCannyEdge)).BeginInit();



75
            this.groupBox1.SuspendLayout();
74
            this.groupBox1.SuspendLayout();



76
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamOriginal)).BeginInit();
75
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamOriginal)).BeginInit();



77
            this.groupBox2.SuspendLayout();
76
            this.groupBox2.SuspendLayout();



78
            this.groupBox4.SuspendLayout();
77
            this.groupBox4.SuspendLayout();



78
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdLow)).BeginInit();



79
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamBinarized)).BeginInit();



80
            this.gBoxPuzzlePieces.SuspendLayout();



81
            ((System.ComponentModel.ISupportInitialize)(this.picBoxPuzzlePiece)).BeginInit();



79
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdHigh)).BeginInit();
82
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdHigh)).BeginInit();



80
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdLow)).BeginInit();



81
            this.groupBox3.SuspendLayout();
83
            this.groupBox3.SuspendLayout();



82
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamBinarized)).BeginInit();
84
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCannyEdge)).BeginInit();



83
            this.groupBox5.SuspendLayout();



84
            ((System.ComponentModel.ISupportInitialize)(this.numericUpDown1)).BeginInit();



85
            this.groupBox6.SuspendLayout();
85
            this.groupBox6.SuspendLayout();



86
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownDilateIter)).BeginInit();



86
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownErodeIter)).BeginInit();
87
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownErodeIter)).BeginInit();



87
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownDilateIter)).BeginInit();
88
            ((System.ComponentModel.ISupportInitialize)(this.numericUpDown1)).BeginInit();



88
            this.gBoxPuzzlePieces.SuspendLayout();
89
            this.groupBox5.SuspendLayout();



89
            ((System.ComponentModel.ISupportInitialize)(this.picBoxPuzzlePiece)).BeginInit();



90
            this.SuspendLayout();
90
            this.SuspendLayout();



91
            // 
91
            // 



92
            // menuStrip
92
            // menuStrip


...
...
131
            this.statusStrip.TabIndex = 6;
131
            this.statusStrip.TabIndex = 6;



132
            this.statusStrip.Text = "statusStrip1";
132
            this.statusStrip.Text = "statusStrip1";



133
            // 
133
            // 



134
            // picBoxCannyEdge



135
            // 



136
            this.picBoxCannyEdge.Location = new System.Drawing.Point(6, 19);



137
            this.picBoxCannyEdge.Name = "picBoxCannyEdge";



138
            this.picBoxCannyEdge.Size = new System.Drawing.Size(309, 220);



139
            this.picBoxCannyEdge.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage;



140
            this.picBoxCannyEdge.TabIndex = 7;



141
            this.picBoxCannyEdge.TabStop = false;



142
            // 



143
            // timerOriginal
134
            // timerOriginal



144
            // 
135
            // 



145
            this.timerOriginal.Enabled = true;
136
            this.timerOriginal.Enabled = true;


...
...
217
            this.groupBox4.TabStop = false;
208
            this.groupBox4.TabStop = false;



218
            this.groupBox4.Text = "Küszöb érték(ek)";
209
            this.groupBox4.Text = "Küszöb érték(ek)";



219
            // 
210
            // 



220
            // labThresholdValHigh



221
            // 



222
            this.labThresholdValHigh.AutoSize = true;



223
            this.labThresholdValHigh.Location = new System.Drawing.Point(128, 21);



224
            this.labThresholdValHigh.Name = "labThresholdValHigh";



225
            this.labThresholdValHigh.Size = new System.Drawing.Size(35, 13);



226
            this.labThresholdValHigh.TabIndex = 8;



227
            this.labThresholdValHigh.Text = "Felső:";



228
            this.labThresholdValHigh.Visible = false;



229
            // 



230
            // numUpDownThresholdHigh



231
            // 



232
            this.numUpDownThresholdHigh.Location = new System.Drawing.Point(172, 19);



233
            this.numUpDownThresholdHigh.Maximum = new decimal(new int[] {



234
            255,



235
            0,



236
            0,



237
            0});



238
            this.numUpDownThresholdHigh.Name = "numUpDownThresholdHigh";



239
            this.numUpDownThresholdHigh.Size = new System.Drawing.Size(40, 20);



240
            this.numUpDownThresholdHigh.TabIndex = 9;



241
            this.numUpDownThresholdHigh.Value = new decimal(new int[] {



242
            100,



243
            0,



244
            0,



245
            0});



246
            this.numUpDownThresholdHigh.Visible = false;



247
            this.numUpDownThresholdHigh.ValueChanged += new System.EventHandler(this.numUpDownThresholdHigh_ValueChanged);



248
            // 



249
            // labThresholdValLow
211
            // labThresholdValLow



250
            // 
212
            // 



251
            this.labThresholdValLow.AutoSize = true;
213
            this.labThresholdValLow.AutoSize = true;


...
...
274
            0});
236
            0});



275
            this.numUpDownThresholdLow.ValueChanged += new System.EventHandler(this.numUpDownThresholdLow_ValueChanged);
237
            this.numUpDownThresholdLow.ValueChanged += new System.EventHandler(this.numUpDownThresholdLow_ValueChanged);



276
            // 
238
            // 



277
            // groupBox3



278
            // 



279
            this.groupBox3.Anchor = ((System.Windows.Forms.AnchorStyles)(((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Left)



280
                        | System.Windows.Forms.AnchorStyles.Right)));



281
            this.groupBox3.Controls.Add(this.rBtnThresholdOtsu);



282
            this.groupBox3.Controls.Add(this.rBtnThresholdDouble);



283
            this.groupBox3.Controls.Add(this.rBtnThresholdSimple);



284
            this.groupBox3.Location = new System.Drawing.Point(6, 245);



285
            this.groupBox3.Name = "groupBox3";



286
            this.groupBox3.Size = new System.Drawing.Size(309, 49);



287
            this.groupBox3.TabIndex = 8;



288
            this.groupBox3.TabStop = false;



289
            this.groupBox3.Text = "Módszer";



290
            // 



291
            // rBtnThresholdOtsu



292
            // 



293
            this.rBtnThresholdOtsu.AutoSize = true;



294
            this.rBtnThresholdOtsu.Checked = true;



295
            this.rBtnThresholdOtsu.Location = new System.Drawing.Point(172, 19);



296
            this.rBtnThresholdOtsu.Name = "rBtnThresholdOtsu";



297
            this.rBtnThresholdOtsu.Size = new System.Drawing.Size(47, 17);



298
            this.rBtnThresholdOtsu.TabIndex = 0;



299
            this.rBtnThresholdOtsu.TabStop = true;



300
            this.rBtnThresholdOtsu.Text = "Otsu";



301
            this.rBtnThresholdOtsu.UseVisualStyleBackColor = true;



302
            this.rBtnThresholdOtsu.CheckedChanged += new System.EventHandler(this.rBtnThresholdOtsu_CheckedChanged);



303
            // 



304
            // rBtnThresholdDouble



305
            // 



306
            this.rBtnThresholdDouble.AutoSize = true;



307
            this.rBtnThresholdDouble.Location = new System.Drawing.Point(80, 19);



308
            this.rBtnThresholdDouble.Name = "rBtnThresholdDouble";



309
            this.rBtnThresholdDouble.Size = new System.Drawing.Size(86, 17);



310
            this.rBtnThresholdDouble.TabIndex = 0;



311
            this.rBtnThresholdDouble.Text = "Hiszterézises";



312
            this.rBtnThresholdDouble.UseVisualStyleBackColor = true;



313
            this.rBtnThresholdDouble.CheckedChanged += new System.EventHandler(this.rBtnThresholdDouble_CheckedChanged);



314
            // 



315
            // rBtnThresholdSimple



316
            // 



317
            this.rBtnThresholdSimple.AutoSize = true;



318
            this.rBtnThresholdSimple.Location = new System.Drawing.Point(6, 19);



319
            this.rBtnThresholdSimple.Name = "rBtnThresholdSimple";



320
            this.rBtnThresholdSimple.Size = new System.Drawing.Size(68, 17);



321
            this.rBtnThresholdSimple.TabIndex = 0;



322
            this.rBtnThresholdSimple.Text = "Egyszerű";



323
            this.rBtnThresholdSimple.UseVisualStyleBackColor = true;



324
            this.rBtnThresholdSimple.CheckedChanged += new System.EventHandler(this.rBtnThresholdSimple_CheckedChanged);



325
            // 



326
            // picBoxCamBinarized
239
            // picBoxCamBinarized



327
            // 
240
            // 



328
            this.picBoxCamBinarized.Location = new System.Drawing.Point(6, 19);
241
            this.picBoxCamBinarized.Location = new System.Drawing.Point(6, 19);


...
...
332
            this.picBoxCamBinarized.TabIndex = 5;
245
            this.picBoxCamBinarized.TabIndex = 5;



333
            this.picBoxCamBinarized.TabStop = false;
246
            this.picBoxCamBinarized.TabStop = false;



334
            // 
247
            // 



335
            // groupBox5



336
            // 



337
            this.groupBox5.Controls.Add(this.label3);



338
            this.groupBox5.Controls.Add(this.numericUpDown1);



339
            this.groupBox5.Controls.Add(this.groupBox6);



340
            this.groupBox5.Controls.Add(this.picBoxCannyEdge);



341
            this.groupBox5.Location = new System.Drawing.Point(666, 28);



342
            this.groupBox5.Name = "groupBox5";



343
            this.groupBox5.Size = new System.Drawing.Size(320, 357);



344
            this.groupBox5.TabIndex = 11;



345
            this.groupBox5.TabStop = false;



346
            this.groupBox5.Text = "Éldetektált kép";



347
            // 



348
            // label3



349
            // 



350
            this.label3.AutoSize = true;



351
            this.label3.Location = new System.Drawing.Point(12, 317);



352
            this.label3.Name = "label3";



353
            this.label3.Size = new System.Drawing.Size(179, 13);



354
            this.label3.TabIndex = 10;



355
            this.label3.Text = "A puzzle darab %os aránya a képen:";



356
            // 



357
            // numericUpDown1



358
            // 



359
            this.numericUpDown1.Location = new System.Drawing.Point(197, 315);



360
            this.numericUpDown1.Name = "numericUpDown1";



361
            this.numericUpDown1.Size = new System.Drawing.Size(40, 20);



362
            this.numericUpDown1.TabIndex = 11;



363
            this.numericUpDown1.Value = new decimal(new int[] {



364
            80,



365
            0,



366
            0,



367
            0});



368
            // 



369
            // groupBox6



370
            // 



371
            this.groupBox6.Controls.Add(this.numUpDownErodeIter);



372
            this.groupBox6.Controls.Add(this.numUpDownDilateIter);



373
            this.groupBox6.Controls.Add(this.label2);



374
            this.groupBox6.Controls.Add(this.label1);



375
            this.groupBox6.Location = new System.Drawing.Point(6, 245);



376
            this.groupBox6.Name = "groupBox6";



377
            this.groupBox6.Size = new System.Drawing.Size(308, 49);



378
            this.groupBox6.TabIndex = 9;



379
            this.groupBox6.TabStop = false;



380
            this.groupBox6.Text = "Dialtáció/Erózió iterációk száma";



381
            // 



382
            // numUpDownErodeIter



383
            // 



384
            this.numUpDownErodeIter.Location = new System.Drawing.Point(178, 19);



385
            this.numUpDownErodeIter.Maximum = new decimal(new int[] {



386
            1000,



387
            0,



388
            0,



389
            0});



390
            this.numUpDownErodeIter.Name = "numUpDownErodeIter";



391
            this.numUpDownErodeIter.Size = new System.Drawing.Size(40, 20);



392
            this.numUpDownErodeIter.TabIndex = 10;



393
            this.numUpDownErodeIter.ValueChanged += new System.EventHandler(this.numUpDownErodeIter_ValueChanged);



394
            // 



395
            // numUpDownDilateIter



396
            // 



397
            this.numUpDownDilateIter.Location = new System.Drawing.Point(63, 19);



398
            this.numUpDownDilateIter.Maximum = new decimal(new int[] {



399
            1000,



400
            0,



401
            0,



402
            0});



403
            this.numUpDownDilateIter.Name = "numUpDownDilateIter";



404
            this.numUpDownDilateIter.Size = new System.Drawing.Size(40, 20);



405
            this.numUpDownDilateIter.TabIndex = 10;



406
            this.numUpDownDilateIter.Value = new decimal(new int[] {



407
            1,



408
            0,



409
            0,



410
            0});



411
            this.numUpDownDilateIter.ValueChanged += new System.EventHandler(this.numUpDownDilateIter_ValueChanged);



412
            // 



413
            // label2



414
            // 



415
            this.label2.AutoSize = true;



416
            this.label2.Location = new System.Drawing.Point(121, 21);



417
            this.label2.Name = "label2";



418
            this.label2.Size = new System.Drawing.Size(39, 13);



419
            this.label2.TabIndex = 7;



420
            this.label2.Text = "Erózió:";



421
            this.label2.TextAlign = System.Drawing.ContentAlignment.TopRight;



422
            // 



423
            // label1



424
            // 



425
            this.label1.AutoSize = true;



426
            this.label1.Location = new System.Drawing.Point(6, 21);



427
            this.label1.Name = "label1";



428
            this.label1.Size = new System.Drawing.Size(51, 13);



429
            this.label1.TabIndex = 7;



430
            this.label1.Text = "Dilatáció:";



431
            this.label1.TextAlign = System.Drawing.ContentAlignment.TopRight;



432
            // 



433
            // gBoxPuzzlePieces
248
            // gBoxPuzzlePieces



434
            // 
249
            // 



435
            this.gBoxPuzzlePieces.Controls.Add(this.txtPuzzleSideType);
250
            this.gBoxPuzzlePieces.Controls.Add(this.txtPuzzleSideType);


...
...
517
            this.labCamMoveDirection.TabIndex = 16;
332
            this.labCamMoveDirection.TabIndex = 16;



518
            this.labCamMoveDirection.Text = "-";
333
            this.labCamMoveDirection.Text = "-";



519
            // 
334
            // 



335
            // histogram



336
            // 



337
            this.histogram.Location = new System.Drawing.Point(339, 406);



338
            this.histogram.Name = "histogram";



339
            this.histogram.Size = new System.Drawing.Size(647, 225);



340
            this.histogram.TabIndex = 14;



341
            // 



342
            // numUpDownThresholdHigh



343
            // 



344
            this.numUpDownThresholdHigh.Location = new System.Drawing.Point(172, 19);



345
            this.numUpDownThresholdHigh.Maximum = new decimal(new int[] {



346
            255,



347
            0,



348
            0,



349
            0});



350
            this.numUpDownThresholdHigh.Name = "numUpDownThresholdHigh";



351
            this.numUpDownThresholdHigh.Size = new System.Drawing.Size(40, 20);



352
            this.numUpDownThresholdHigh.TabIndex = 9;



353
            this.numUpDownThresholdHigh.Value = new decimal(new int[] {



354
            100,



355
            0,



356
            0,



357
            0});



358
            this.numUpDownThresholdHigh.Visible = false;



359
            this.numUpDownThresholdHigh.ValueChanged += new System.EventHandler(this.numUpDownThresholdHigh_ValueChanged);



360
            // 



361
            // labThresholdValHigh



362
            // 



363
            this.labThresholdValHigh.AutoSize = true;



364
            this.labThresholdValHigh.Location = new System.Drawing.Point(128, 21);



365
            this.labThresholdValHigh.Name = "labThresholdValHigh";



366
            this.labThresholdValHigh.Size = new System.Drawing.Size(35, 13);



367
            this.labThresholdValHigh.TabIndex = 8;



368
            this.labThresholdValHigh.Text = "Felső:";



369
            this.labThresholdValHigh.Visible = false;



370
            // 



371
            // rBtnThresholdSimple



372
            // 



373
            this.rBtnThresholdSimple.AutoSize = true;



374
            this.rBtnThresholdSimple.Location = new System.Drawing.Point(6, 19);



375
            this.rBtnThresholdSimple.Name = "rBtnThresholdSimple";



376
            this.rBtnThresholdSimple.Size = new System.Drawing.Size(68, 17);



377
            this.rBtnThresholdSimple.TabIndex = 0;



378
            this.rBtnThresholdSimple.Text = "Egyszerű";



379
            this.rBtnThresholdSimple.UseVisualStyleBackColor = true;



380
            this.rBtnThresholdSimple.CheckedChanged += new System.EventHandler(this.rBtnThresholdSimple_CheckedChanged);



381
            // 



382
            // rBtnThresholdDouble



383
            // 



384
            this.rBtnThresholdDouble.AutoSize = true;



385
            this.rBtnThresholdDouble.Location = new System.Drawing.Point(80, 19);



386
            this.rBtnThresholdDouble.Name = "rBtnThresholdDouble";



387
            this.rBtnThresholdDouble.Size = new System.Drawing.Size(86, 17);



388
            this.rBtnThresholdDouble.TabIndex = 0;



389
            this.rBtnThresholdDouble.Text = "Hiszterézises";



390
            this.rBtnThresholdDouble.UseVisualStyleBackColor = true;



391
            this.rBtnThresholdDouble.CheckedChanged += new System.EventHandler(this.rBtnThresholdDouble_CheckedChanged);



392
            // 



393
            // rBtnThresholdOtsu



394
            // 



395
            this.rBtnThresholdOtsu.AutoSize = true;



396
            this.rBtnThresholdOtsu.Checked = true;



397
            this.rBtnThresholdOtsu.Location = new System.Drawing.Point(172, 19);



398
            this.rBtnThresholdOtsu.Name = "rBtnThresholdOtsu";



399
            this.rBtnThresholdOtsu.Size = new System.Drawing.Size(47, 17);



400
            this.rBtnThresholdOtsu.TabIndex = 0;



401
            this.rBtnThresholdOtsu.TabStop = true;



402
            this.rBtnThresholdOtsu.Text = "Otsu";



403
            this.rBtnThresholdOtsu.UseVisualStyleBackColor = true;



404
            this.rBtnThresholdOtsu.CheckedChanged += new System.EventHandler(this.rBtnThresholdOtsu_CheckedChanged);



405
            // 



406
            // groupBox3



407
            // 



408
            this.groupBox3.Anchor = ((System.Windows.Forms.AnchorStyles)(((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Left)



409
                        | System.Windows.Forms.AnchorStyles.Right)));



410
            this.groupBox3.Controls.Add(this.rBtnThresholdOtsu);



411
            this.groupBox3.Controls.Add(this.rBtnThresholdDouble);



412
            this.groupBox3.Controls.Add(this.rBtnThresholdSimple);



413
            this.groupBox3.Location = new System.Drawing.Point(6, 245);



414
            this.groupBox3.Name = "groupBox3";



415
            this.groupBox3.Size = new System.Drawing.Size(309, 49);



416
            this.groupBox3.TabIndex = 8;



417
            this.groupBox3.TabStop = false;



418
            this.groupBox3.Text = "Módszer";



419
            // 



520
            // labTeszt
420
            // labTeszt



521
            // 
421
            // 



522
            this.labTeszt.AutoSize = true;
422
            this.labTeszt.AutoSize = true;


...
...
526
            this.labTeszt.TabIndex = 16;
426
            this.labTeszt.TabIndex = 16;



527
            this.labTeszt.Text = "-";
427
            this.labTeszt.Text = "-";



528
            // 
428
            // 



529
            // histogram
429
            // picBoxCannyEdge



530
            // 
430
            // 



531
            this.histogram.Location = new System.Drawing.Point(339, 406);
431
            this.picBoxCannyEdge.Location = new System.Drawing.Point(6, 19);



532
            this.histogram.Name = "histogram";
432
            this.picBoxCannyEdge.Name = "picBoxCannyEdge";



533
            this.histogram.Size = new System.Drawing.Size(647, 225);
433
            this.picBoxCannyEdge.Size = new System.Drawing.Size(309, 220);



534
            this.histogram.TabIndex = 14;
434
            this.picBoxCannyEdge.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage;



435
            this.picBoxCannyEdge.TabIndex = 7;



436
            this.picBoxCannyEdge.TabStop = false;



535
            // 
437
            // 



438
            // groupBox6



439
            // 



440
            this.groupBox6.Controls.Add(this.numUpDownErodeIter);



441
            this.groupBox6.Controls.Add(this.numUpDownDilateIter);



442
            this.groupBox6.Controls.Add(this.label2);



443
            this.groupBox6.Controls.Add(this.label1);



444
            this.groupBox6.Location = new System.Drawing.Point(6, 245);



445
            this.groupBox6.Name = "groupBox6";



446
            this.groupBox6.Size = new System.Drawing.Size(308, 49);



447
            this.groupBox6.TabIndex = 9;



448
            this.groupBox6.TabStop = false;



449
            this.groupBox6.Text = "Dialtáció/Erózió iterációk száma";



450
            // 



451
            // label1



452
            // 



453
            this.label1.AutoSize = true;



454
            this.label1.Location = new System.Drawing.Point(6, 21);



455
            this.label1.Name = "label1";



456
            this.label1.Size = new System.Drawing.Size(51, 13);



457
            this.label1.TabIndex = 7;



458
            this.label1.Text = "Dilatáció:";



459
            this.label1.TextAlign = System.Drawing.ContentAlignment.TopRight;



460
            // 



461
            // label2



462
            // 



463
            this.label2.AutoSize = true;



464
            this.label2.Location = new System.Drawing.Point(121, 21);



465
            this.label2.Name = "label2";



466
            this.label2.Size = new System.Drawing.Size(39, 13);



467
            this.label2.TabIndex = 7;



468
            this.label2.Text = "Erózió:";



469
            this.label2.TextAlign = System.Drawing.ContentAlignment.TopRight;



470
            // 



471
            // numUpDownDilateIter



472
            // 



473
            this.numUpDownDilateIter.Location = new System.Drawing.Point(63, 19);



474
            this.numUpDownDilateIter.Maximum = new decimal(new int[] {



475
            1000,



476
            0,



477
            0,



478
            0});



479
            this.numUpDownDilateIter.Name = "numUpDownDilateIter";



480
            this.numUpDownDilateIter.Size = new System.Drawing.Size(40, 20);



481
            this.numUpDownDilateIter.TabIndex = 10;



482
            this.numUpDownDilateIter.Value = new decimal(new int[] {



483
            1,



484
            0,



485
            0,



486
            0});



487
            this.numUpDownDilateIter.ValueChanged += new System.EventHandler(this.numUpDownDilateIter_ValueChanged);



488
            // 



489
            // numUpDownErodeIter



490
            // 



491
            this.numUpDownErodeIter.Location = new System.Drawing.Point(178, 19);



492
            this.numUpDownErodeIter.Maximum = new decimal(new int[] {



493
            1000,



494
            0,



495
            0,



496
            0});



497
            this.numUpDownErodeIter.Name = "numUpDownErodeIter";



498
            this.numUpDownErodeIter.Size = new System.Drawing.Size(40, 20);



499
            this.numUpDownErodeIter.TabIndex = 10;



500
            this.numUpDownErodeIter.ValueChanged += new System.EventHandler(this.numUpDownErodeIter_ValueChanged);



501
            // 



502
            // numericUpDown1



503
            // 



504
            this.numericUpDown1.Location = new System.Drawing.Point(197, 315);



505
            this.numericUpDown1.Name = "numericUpDown1";



506
            this.numericUpDown1.Size = new System.Drawing.Size(40, 20);



507
            this.numericUpDown1.TabIndex = 11;



508
            this.numericUpDown1.Value = new decimal(new int[] {



509
            80,



510
            0,



511
            0,



512
            0});



513
            // 



514
            // label3



515
            // 



516
            this.label3.AutoSize = true;



517
            this.label3.Location = new System.Drawing.Point(12, 317);



518
            this.label3.Name = "label3";



519
            this.label3.Size = new System.Drawing.Size(179, 13);



520
            this.label3.TabIndex = 10;



521
            this.label3.Text = "A puzzle darab %os aránya a képen:";



522
            // 



523
            // groupBox5



524
            // 



525
            this.groupBox5.Controls.Add(this.label3);



526
            this.groupBox5.Controls.Add(this.numericUpDown1);



527
            this.groupBox5.Controls.Add(this.groupBox6);



528
            this.groupBox5.Controls.Add(this.picBoxCannyEdge);



529
            this.groupBox5.Location = new System.Drawing.Point(666, 28);



530
            this.groupBox5.Name = "groupBox5";



531
            this.groupBox5.Size = new System.Drawing.Size(320, 357);



532
            this.groupBox5.TabIndex = 11;



533
            this.groupBox5.TabStop = false;



534
            this.groupBox5.Text = "Éldetektált kép";



535
            // 



536
            // MainForm
536
            // MainForm



537
            // 
537
            // 



538
            this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
538
            this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);


...
...
555
            this.WindowState = System.Windows.Forms.FormWindowState.Maximized;
555
            this.WindowState = System.Windows.Forms.FormWindowState.Maximized;



556
            this.menuStrip.ResumeLayout(false);
556
            this.menuStrip.ResumeLayout(false);



557
            this.menuStrip.PerformLayout();
557
            this.menuStrip.PerformLayout();



558
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCannyEdge)).EndInit();



559
            this.groupBox1.ResumeLayout(false);
558
            this.groupBox1.ResumeLayout(false);



560
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamOriginal)).EndInit();
559
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamOriginal)).EndInit();



561
            this.groupBox2.ResumeLayout(false);
560
            this.groupBox2.ResumeLayout(false);



562
            this.groupBox4.ResumeLayout(false);
561
            this.groupBox4.ResumeLayout(false);



563
            this.groupBox4.PerformLayout();
562
            this.groupBox4.PerformLayout();



563
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdLow)).EndInit();



564
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamBinarized)).EndInit();



565
            this.gBoxPuzzlePieces.ResumeLayout(false);



566
            this.gBoxPuzzlePieces.PerformLayout();



567
            ((System.ComponentModel.ISupportInitialize)(this.picBoxPuzzlePiece)).EndInit();



564
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdHigh)).EndInit();
568
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdHigh)).EndInit();



565
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownThresholdLow)).EndInit();



566
            this.groupBox3.ResumeLayout(false);
569
            this.groupBox3.ResumeLayout(false);



567
            this.groupBox3.PerformLayout();
570
            this.groupBox3.PerformLayout();



568
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCamBinarized)).EndInit();
571
            ((System.ComponentModel.ISupportInitialize)(this.picBoxCannyEdge)).EndInit();



569
            this.groupBox5.ResumeLayout(false);



570
            this.groupBox5.PerformLayout();



571
            ((System.ComponentModel.ISupportInitialize)(this.numericUpDown1)).EndInit();



572
            this.groupBox6.ResumeLayout(false);
572
            this.groupBox6.ResumeLayout(false);



573
            this.groupBox6.PerformLayout();
573
            this.groupBox6.PerformLayout();



574
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownDilateIter)).EndInit();



574
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownErodeIter)).EndInit();
575
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownErodeIter)).EndInit();



575
            ((System.ComponentModel.ISupportInitialize)(this.numUpDownDilateIter)).EndInit();
576
            ((System.ComponentModel.ISupportInitialize)(this.numericUpDown1)).EndInit();



576
            this.gBoxPuzzlePieces.ResumeLayout(false);
577
            this.groupBox5.ResumeLayout(false);



577
            this.gBoxPuzzlePieces.PerformLayout();
578
            this.groupBox5.PerformLayout();



578
            ((System.ComponentModel.ISupportInitialize)(this.picBoxPuzzlePiece)).EndInit();



579
            this.ResumeLayout(false);
579
            this.ResumeLayout(false);



580
            this.PerformLayout();
580
            this.PerformLayout();



581
581


...
...
586
		private System.Windows.Forms.MenuStrip menuStrip;
586
		private System.Windows.Forms.MenuStrip menuStrip;



587
		private System.Windows.Forms.ToolStripMenuItem menuFile;
587
		private System.Windows.Forms.ToolStripMenuItem menuFile;



588
		private System.Windows.Forms.ToolStripMenuItem kilépésToolStripMenuItem;
588
		private System.Windows.Forms.ToolStripMenuItem kilépésToolStripMenuItem;



589
		private System.Windows.Forms.StatusStrip statusStrip;
589
        private System.Windows.Forms.StatusStrip statusStrip;



590
		private Emgu.CV.UI.ImageBox picBoxCannyEdge;



591
		private System.Windows.Forms.Timer timerOriginal;
590
		private System.Windows.Forms.Timer timerOriginal;



592
		private System.Windows.Forms.GroupBox groupBox1;
591
		private System.Windows.Forms.GroupBox groupBox1;



593
		private Emgu.CV.UI.ImageBox picBoxCamOriginal;
592
		private Emgu.CV.UI.ImageBox picBoxCamOriginal;



594
		private System.Windows.Forms.GroupBox groupBox2;
593
		private System.Windows.Forms.GroupBox groupBox2;



595
		private System.Windows.Forms.GroupBox groupBox4;
594
        private System.Windows.Forms.GroupBox groupBox4;



596
		private System.Windows.Forms.Label labThresholdValHigh;



597
		private System.Windows.Forms.NumericUpDown numUpDownThresholdHigh;



598
		private System.Windows.Forms.Label labThresholdValLow;
595
		private System.Windows.Forms.Label labThresholdValLow;



599
		private System.Windows.Forms.NumericUpDown numUpDownThresholdLow;
596
        private System.Windows.Forms.NumericUpDown numUpDownThresholdLow;



600
		private System.Windows.Forms.GroupBox groupBox3;
597
        private Emgu.CV.UI.ImageBox picBoxCamBinarized;



601
		private System.Windows.Forms.RadioButton rBtnThresholdOtsu;



602
		private System.Windows.Forms.RadioButton rBtnThresholdDouble;



603
		private System.Windows.Forms.RadioButton rBtnThresholdSimple;



604
		private Emgu.CV.UI.ImageBox picBoxCamBinarized;



605
		private System.Windows.Forms.GroupBox groupBox5;



606
		private System.Windows.Forms.GroupBox groupBox6;



607
		private System.Windows.Forms.NumericUpDown numUpDownErodeIter;



608
		private System.Windows.Forms.NumericUpDown numUpDownDilateIter;



609
		private System.Windows.Forms.Label label2;



610
        private System.Windows.Forms.Label label1;



611
		private System.Windows.Forms.Label label3;



612
        private System.Windows.Forms.NumericUpDown numericUpDown1;



613
		private System.Windows.Forms.ToolStripMenuItem menuHisztogram;
598
		private System.Windows.Forms.ToolStripMenuItem menuHisztogram;



614
		private System.Windows.Forms.GroupBox gBoxPuzzlePieces;
599
		private System.Windows.Forms.GroupBox gBoxPuzzlePieces;



615
		private System.Windows.Forms.ListBox lbPuzzlePieces;
600
		private System.Windows.Forms.ListBox lbPuzzlePieces;


...
...
622
        private System.Windows.Forms.Button btnAssembling;
607
        private System.Windows.Forms.Button btnAssembling;



623
        private System.Windows.Forms.Label label5;
608
        private System.Windows.Forms.Label label5;



624
        private System.Windows.Forms.Label labCamMoveDirection;
609
        private System.Windows.Forms.Label labCamMoveDirection;



610
        private Emgu.CV.UI.HistogramBox histogram;



611
        private System.Windows.Forms.Label labThresholdValHigh;



612
        private System.Windows.Forms.NumericUpDown numUpDownThresholdHigh;



613
        private System.Windows.Forms.GroupBox groupBox3;



614
        private System.Windows.Forms.RadioButton rBtnThresholdOtsu;



615
        private System.Windows.Forms.RadioButton rBtnThresholdDouble;



616
        private System.Windows.Forms.RadioButton rBtnThresholdSimple;



625
        private System.Windows.Forms.Label labTeszt;
617
        private System.Windows.Forms.Label labTeszt;



626
        private Emgu.CV.UI.HistogramBox histogram;
618
        private Emgu.CV.UI.ImageBox picBoxCannyEdge;



619
        private System.Windows.Forms.GroupBox groupBox6;



620
        private System.Windows.Forms.NumericUpDown numUpDownErodeIter;



621
        private System.Windows.Forms.NumericUpDown numUpDownDilateIter;



622
        private System.Windows.Forms.Label label2;



623
        private System.Windows.Forms.Label label1;



624
        private System.Windows.Forms.NumericUpDown numericUpDown1;



625
        private System.Windows.Forms.Label label3;



626
        private System.Windows.Forms.GroupBox groupBox5;



627
	}
627
	}



628
}
628
}



629
629





    

    

    

          

  Updated
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/obj/x86/Debug/JPS_PuzzleDetectorWithCam.csproj.FileListAbsolute.txt  Download diff




      
      
6768
30
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\JPS_PuzzleDetectorWithCam.exe
30
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\JPS_PuzzleDetectorWithCam.exe



31
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\JPS_PuzzleDetectorWithCam.pdb
31
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\JPS_PuzzleDetectorWithCam.pdb



32
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\ZedGraph.dll
32
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\ZedGraph.dll



33
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Emgu.CV.xml



34
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Emgu.CV.UI.xml



35
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Emgu.Util.xml



36
E:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.HistogramForm.resources
33
E:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.HistogramForm.resources



37
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.HistogramForm.resources
34
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.HistogramForm.resources



38
D:\svn\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.exe
35
D:\svn\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\obj\x86\Debug\JPS_PuzzleDetectorWithCam.exe


...
...
101
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.Statistics.xml
98
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.Statistics.xml



102
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.pdb
99
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.pdb



103
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.xml
100
d:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\Accord.xml



101
D:\BMF\JPS\trunk\JPS_PuzzleDetectorWithCam\JPS_PuzzleDetectorWithCam\bin\Debug\ZedGraph.xml





    

    

    

    

    

    

          


  Added
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/obj/x86/Release/GenerateResource.read.1.tlog  






  
    

      

        
          
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  Added
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/obj/x86/Release/GenerateResource.write.1.tlog  






  
    

      

        
          
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  Added
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/obj/x86/Release/JPS_PuzzleDetectorWithCam.csproj.FileListAbsolute.txt  






  
    

      

        
          
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  Updated
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/PuzzleFunction.cs  Download diff




      
      
6768
8
using Emgu.CV.CvEnum;
8
using Emgu.CV.CvEnum;



9
using System.IO;
9
using System.IO;



10
using System.Diagnostics;
10
using System.Diagnostics;



11
using System.Threading.Tasks;



11
12



12
namespace JPS_PuzzleDetectorWithCam
13
namespace JPS_PuzzleDetectorWithCam



13
{
14
{


...
...
60
		public static void Cut(Image<Bgr, Byte> srcImage, List<CustomContour> contours)
61
		public static void Cut(Image<Bgr, Byte> srcImage, List<CustomContour> contours)



61
		{
62
		{



62
			ClearPuzzlePieces();
63
			ClearPuzzlePieces();



63
			for (int i = 0; i < contours.Count; i++)
64
            



64
			{
65
            Stopwatch sw = new Stopwatch();



66
            sw.Restart();



67
            for (int i = 0; i < contours.Count; i++)



68
            {



65
                MCvBox2D minAreaRect = contours[i].OriginalContour.GetMinAreaRect();
69
                MCvBox2D minAreaRect = contours[i].OriginalContour.GetMinAreaRect();



66
                minAreaRect.size = new SizeF((int)(minAreaRect.size.Width*1.5), (int)(minAreaRect.size.Height*1.5));
70
                minAreaRect.size = new SizeF((int)(minAreaRect.size.Width * 1.5), (int)(minAreaRect.size.Height * 1.5));



67
71



68
                Image<Bgr, Byte> imgCurrPiece = new Image<Bgr, byte>(
72
                Image<Bgr, Byte> imgCurrPiece = new Image<Bgr, byte>(



69
                    new Size((int)minAreaRect.size.Width, (int)minAreaRect.size.Height)
73
                    new Size((int)minAreaRect.size.Width, (int)minAreaRect.size.Height)


...
...
76
                        new PuzzlePiece(imgCurrPiece, puzzleCounter++.ToString(), contours[i].CenterOfMass)
80
                        new PuzzlePiece(imgCurrPiece, puzzleCounter++.ToString(), contours[i].CenterOfMass)



77
                    );
81
                    );



78
                }
82
                }



79
                catch (Exception)
83
                catch (Exception ex)



80
                {
84
                {



81
                    if (puzzlePieces.Count > 1)
85
                    System.Windows.Forms.MessageBox.Show(ex.Message);



82
                    {
86
                    //if (puzzlePieces.Count > 1)



83
                        puzzlePieces.Remove(puzzlePieces.Last());
87
                    //{



84
                        puzzleCounter--;
88
                    //    puzzlePieces.Remove(puzzlePieces.Last());



85
                    }
89
                    //    puzzleCounter--;



86
                    else
90
                    //}



87
                    {
91
                    //else



88
                        ClearPuzzlePieces();
92
                    //{



89
                    }
93
                    //    ClearPuzzlePieces();



94
                    //}



90
95



91
                    //throw ex;
96
                    //throw ex;



92
                }
97
                }



93
			}
98
            }



94
		}
99
            sw.Stop();



100
        }



95
101



96
        public static List<Point> GetCorners(Image<Bgr, Byte> imgPiece, CustomContour contour)
102
        public static List<Point> GetCorners(Image<Bgr, Byte> imgPiece, CustomContour contour, List<MCvConvexityDefect> realConvexityDefects)



97
		{
103
		{



98
			List<Point> corners = new List<Point>();
104
			List<Point> corners = new List<Point>();



99
            Image<Bgr, Byte> tmpImage = new Image<Bgr, byte>(imgPiece.Bitmap);
105
            Image<Bgr, Byte> tmpImage = new Image<Bgr, byte>(imgPiece.Bitmap);



100
			using (Image<Gray, Byte> imgConvexHull = new Image<Gray, byte>(imgPiece.Size))
106
            MCvBox2D minAreaRect = contour.OriginalContour.GetMinAreaRect();



107
            Stopwatch sw = new Stopwatch();



108
            using (Image<Gray, Byte> imgConvexHull = new Image<Gray, byte>(imgPiece.Size))



101
			{
109
			{



102
				using (MemStorage memStorage = new MemStorage())
110
				using (MemStorage memStorage = new MemStorage())



103
				{
111
				{



104
					imgConvexHull.Draw(contour.OriginalContour.GetConvexHull(ORIENTATION.CV_CLOCKWISE), new Gray(255), 1);
112
                    double minAreaRectArea = minAreaRect.size.Width * minAreaRect.size.Height;



105
					corners = CornersFromConvexityDefects(contour.ConvexityDefects);
113



114
                    int diff = (int)(minAreaRectArea - contour.ConvexHull.Area);



115



116
                    tmpImage = new Image<Bgr, byte>(imgPiece.Size);



117
                    tmpImage.Draw(minAreaRect, new Bgr(System.Drawing.Color.Aqua), -1);



118
                    tmpImage.Draw(contour.OriginalContour.GetConvexHull(ORIENTATION.CV_CLOCKWISE), new Bgr(System.Drawing.Color.Beige), -1);



119
                    tmpImage.Draw(contour.OriginalContour, new Bgr(System.Drawing.Color.Purple), -1);



120
                    sw.Restart();



121



122
                    //SetRealConvexityDefects(contour.ConvexityDefects, contour.CenterOfMass);



123



124
                    if (diff < minAreaRectArea * 0.1)



125
                        corners = CornersFromNonOutboundedPieces(minAreaRect, contour);



126
                    else



127
                        corners = CornersFromConvexityDefects(contour, realConvexityDefects, ImageFunction.Binarize(imgPiece, 152));



128
                    sw.Stop();



129



130
                    Parallel.For(0, corners.Count, i => {



131
                        tmpImage.Draw(new CircleF(corners[i], 3), new Bgr(0, 0, 255), -1);



132
                    });



133



134
                    imgConvexHull.Draw(contour.OriginalContour, new Gray(255), 1); 



106
				}
135
				}



107
136



108
                
137
                



109
                if (corners.Count != 4)
138
                if (corners.Count != 4)



110
				{
139
				{



111
					PointF[][] goodFeatures = imgConvexHull.GoodFeaturesToTrack(10, .1, imgConvexHull.Width / 3, 5);
140
                    sw.Restart();



112
					imgConvexHull.FindCornerSubPix(goodFeatures, new Size(5, 5), new Size(-1, -1), new MCvTermCriteria(100));
141
                    List<Point> minAreaRectCorners = new List<Point>();



142
                    minAreaRectCorners.Add(new Point(



143
                        (int)minAreaRect.center.X - (int)minAreaRect.size.Width / 2,



144
                        (int)minAreaRect.center.Y - (int)minAreaRect.size.Height / 2));



145
                    minAreaRectCorners.Add(new Point(



146
                        (int)minAreaRect.center.X - (int)minAreaRect.size.Width / 2,



147
                        (int)minAreaRect.center.Y + (int)minAreaRect.size.Height / 2));



148
                    minAreaRectCorners.Add(new Point(



149
                        (int)minAreaRect.center.X + (int)minAreaRect.size.Width / 2,



150
                        (int)minAreaRect.center.Y + (int)minAreaRect.size.Height / 2));



151
                    minAreaRectCorners.Add(new Point(



152
                        (int)minAreaRect.center.X + (int)minAreaRect.size.Width / 2,



153
                        (int)minAreaRect.center.Y - (int)minAreaRect.size.Height / 2));



113
154



114
                    List<PointF> usefulGoodFeatures = goodFeatures[0].ToList();
155
                    List<Point> nearestCorners = new List<Point>();



115
156



116
                    for (int i = 0; i < corners.Count; i++)
157
                    Parallel.For(0, corners.Count, i =>



117
                    {
158
                    {



118
                        tmpImage.Draw(new CircleF(corners[i], 3), new Bgr(0,255,255), -1);
159
                        List<int> distOfCorners = new List<int>();



160
                        for (int j = 0; j < minAreaRectCorners.Count; j++)



161
                        {



162
                            distOfCorners.Add(



163
                                (corners[i].X - minAreaRectCorners[j].X) * (corners[i].X - minAreaRectCorners[j].X) +



164
                                (corners[i].Y - minAreaRectCorners[j].Y) * (corners[i].Y - minAreaRectCorners[j].Y)



165
                                );



166
                        }



167
                        nearestCorners.Add(minAreaRectCorners[distOfCorners.IndexOf(distOfCorners.Min())]);



168
                    });



169



170
                    for (int i = 0; i < nearestCorners.Count; i++)



171
                    {



172
                        minAreaRectCorners.Remove(nearestCorners[i]);



119
                    }
173
                    }



120
174



121
                    double range = 5.0;
175
					PointF[][] goodFeatures = imgConvexHull.GoodFeaturesToTrack(30, .1, 10, 5);



176
					//imgConvexHull.FindCornerSubPix(goodFeatures, new Size(5, 5), new Size(-1, -1), new MCvTermCriteria(100));



122
177



123
                    for (int i = 0; i < corners.Count; i++)
178
                    List<PointF> usefulGoodFeatures = goodFeatures[0].ToList();



179



180
                    Parallel.For(0, usefulGoodFeatures.Count, i =>



124
                    {
181
                    {



125
                        for (int j = 0; j < goodFeatures[0].Count(); j++)
182
                        tmpImage.Draw(new CircleF(usefulGoodFeatures[i], 1), new Bgr(0, 255, 0), -1);



126
                        {
183
                    });



127
                            tmpImage.Draw(new CircleF(goodFeatures[0][j], 3), new Bgr(0, 0, 255), -1);



128
                            if (goodFeatures[0][j].X > corners[i].X - range && goodFeatures[0][j].X < corners[i].X + range &&



129
                                goodFeatures[0][j].Y > corners[i].Y - range && goodFeatures[0][j].Y < corners[i].Y + range)



130
                                usefulGoodFeatures.Remove(goodFeatures[0][j]);



131
                        }



132
                    }



133
184



134
                    range = 1.0;
185
                    List<int> distances = new List<int>();



135
                    List<Point> tmpUsefulCorners = new List<Point>();



136
                    List<Point> contourPoints = contour.GetUnsortedContourPoints();
186
                    List<Point> contourPoints = contour.GetUnsortedContourPoints();



187
                    List<Point> nearestContourPoints;



188
                    Point usefulGoodFeature;



189
                    int range = 3;



137
190



138
                    tmpImage = new Image<Bgr, byte>(imgPiece.Bitmap);
191
                    for (int i = 0; i < minAreaRectCorners.Count; i++)



192
                    {



193
                        distances = new List<int>();



194
                        for (int j = 0; j < usefulGoodFeatures.Count; j++)



195
                        {



196
                            distances.Add(



197
                                (minAreaRectCorners[i].X - (int)usefulGoodFeatures[j].X) * (minAreaRectCorners[i].X - (int)usefulGoodFeatures[j].X) +



198
                                (minAreaRectCorners[i].Y - (int)usefulGoodFeatures[j].Y) * (minAreaRectCorners[i].Y - (int)usefulGoodFeatures[j].Y)



199
                                );



200
                        }



139
201



140
                    for (int i = 0; i < usefulGoodFeatures.Count; i++)
202
                        nearestContourPoints = new List<Point>();



141
                    {
203
                        usefulGoodFeature = Point.Round(usefulGoodFeatures[distances.IndexOf(distances.Min())]);



142
                        for (int j = 0; j < contourPoints.Count; j++)
204
                        for (int j = 0; j < contourPoints.Count; j++)



143
                        {
205
                        {



144
                            if (usefulGoodFeatures[i].X > contourPoints[j].X - range && usefulGoodFeatures[i].X < contourPoints[j].X + range &&
206
                            if (usefulGoodFeature.X > contourPoints[j].X - range &&



145
                                usefulGoodFeatures[i].Y > contourPoints[j].Y - range && usefulGoodFeatures[i].Y < contourPoints[j].Y + range)
207
                                usefulGoodFeature.X < contourPoints[j].X + range &&



208
                                usefulGoodFeature.Y > contourPoints[j].Y - range &&



209
                                usefulGoodFeature.Y < contourPoints[j].Y + range)



146
                            {
210
                            {



147
                                tmpUsefulCorners.Add(contourPoints[j]);
211
                                //corners.Add(contourPoints[k]);



148
                                tmpImage.Draw(new CircleF(contourPoints[j], 3), new Bgr(0, 0, 255), 1);
212
                                //tmpImage.Draw(new CircleF(contourPoints[k], 3), new Bgr(System.Drawing.Color.Yellow), 1);



213
                                nearestContourPoints.Add(contourPoints[j]);



149
                            }
214
                            }



150
                        }
215
                        }



151
                    }



152
216



153
                    int currDistance = 0;
217
                        distances = new List<int>();



154
                    List<Point> usefulCorners = new List<Point>();
218
                        for (int j = 0; j < nearestContourPoints.Count; j++)



155
                    usefulCorners.AddRange(tmpUsefulCorners);



156
                    for (int i = 0; i < tmpUsefulCorners.Count - 1; i++)



157
                    {



158
                        currDistance =



159
                            (tmpUsefulCorners[i].X - tmpUsefulCorners[i + 1].X) * (tmpUsefulCorners[i].X - tmpUsefulCorners[i + 1].X) +



160
                            (tmpUsefulCorners[i].Y - tmpUsefulCorners[i + 1].Y) * (tmpUsefulCorners[i].Y - tmpUsefulCorners[i + 1].Y);



161



162
                        if (currDistance < 10)



163
                        {
219
                        {



164
                            usefulCorners.Remove(tmpUsefulCorners[i]);
220
                            distances.Add(



165
                            tmpImage.Draw(new CircleF(tmpUsefulCorners[i + 1], 5), new Bgr(0, 255, 255), 1);
221
                                (nearestContourPoints[i].X - (int)usefulGoodFeature.X) * (nearestContourPoints[i].X - (int)usefulGoodFeature.X) +



222
                                (nearestContourPoints[i].Y - (int)usefulGoodFeature.Y) * (nearestContourPoints[i].Y - (int)usefulGoodFeature.Y)



223
                                );



166
                        }
224
                        }



225



226
                        corners.Add(nearestContourPoints[distances.IndexOf(distances.Min())]);



227
                        tmpImage.Draw(new CircleF(corners.Last(), 3), new Bgr(System.Drawing.Color.Yellow), 1);



167
                    }
228
                    }



168
                    tmpImage.Draw(new CircleF(corners[0], 3), new Bgr(0, 255, 0), 1);



169
                    tmpImage.Draw(new CircleF(corners[1], 3), new Bgr(0, 255, 0), 1);



170
229



171
                    if (usefulCorners.Count > 2)
230
                    //for (int i = 0; i < nearestGoodFeatures.Count; i++)



172
                    {
231
                    //{



173
                        List<int> distances = new List<int>();
232
                    //    tmpImage.Draw(new CircleF(nearestGoodFeatures[i], 1), new Bgr(255, 255, 255), -1);



233
                    //}



234
                    tmpImage.Draw(contour.OriginalContour, new Bgr(System.Drawing.Color.DarkOrange), 1);



235
                    sw.Stop();



174
236



237
                    //double range = 5.0;



175
238



176
                        for (int i = 0; i < usefulCorners.Count; i++)
239
                    //for (int i = 0; i < corners.Count; i++)



177
                        {
240
                    //{



178
                            distances.Add(
241
                    //    for (int j = 0; j < goodFeatures[0].Count(); j++)



179
                                (corners[0].X - usefulCorners[i].X) * (corners[0].X - usefulCorners[i].X) +
242
                    //    {



180
                                (corners[0].Y - usefulCorners[i].Y) * (corners[0].Y - usefulCorners[i].Y));
243
                    //        tmpImage.Draw(new CircleF(goodFeatures[0][j], 3), new Bgr(0, 0, 255), -1);



181
                        }
244
                    //        if (goodFeatures[0][j].X > corners[i].X - range && goodFeatures[0][j].X < corners[i].X + range &&



245
                    //            goodFeatures[0][j].Y > corners[i].Y - range && goodFeatures[0][j].Y < corners[i].Y + range)



246
                    //            usefulGoodFeatures.Remove(goodFeatures[0][j]);



247
                    //    }



248
                    //}



182
249



183
                        while (usefulCorners.Count != 2)
250
                    //range = 1.0;



184
                        {
251
                    //List<Point> tmpUsefulCorners = new List<Point>();



185
                            usefulCorners.RemoveAt(distances.IndexOf(distances.Min()));
252
                    //List<Point> contourPoints = contour.GetUnsortedContourPoints();



186
                            distances.Remove(distances.Min());



187
                        }



188
                    }



189
253



190
                    corners.AddRange(usefulCorners);
254
                    //tmpImage = new Image<Bgr, byte>(imgPiece.Bitmap);



255



256
                    //for (int i = 0; i < usefulGoodFeatures.Count; i++)



257
                    //{



258
                    //    for (int j = 0; j < contourPoints.Count; j++)



259
                    //    {



260
                    //        if (usefulGoodFeatures[i].X > contourPoints[j].X - range && usefulGoodFeatures[i].X < contourPoints[j].X + range &&



261
                    //            usefulGoodFeatures[i].Y > contourPoints[j].Y - range && usefulGoodFeatures[i].Y < contourPoints[j].Y + range)



262
                    //        {



263
                    //            tmpUsefulCorners.Add(contourPoints[j]);



264
                    //            tmpImage.Draw(new CircleF(contourPoints[j], 3), new Bgr(0, 0, 255), 1);



265
                    //        }



266
                    //    }



267
                    //}



268



269
                    //int currDistance = 0;



270
                    //List<Point> usefulCorners = new List<Point>();



271
                    //usefulCorners.AddRange(tmpUsefulCorners);



272
                    //for (int i = 0; i < tmpUsefulCorners.Count - 1; i++)



273
                    //{



274
                    //    currDistance =



275
                    //        (tmpUsefulCorners[i].X - tmpUsefulCorners[i + 1].X) * (tmpUsefulCorners[i].X - tmpUsefulCorners[i + 1].X) +



276
                    //        (tmpUsefulCorners[i].Y - tmpUsefulCorners[i + 1].Y) * (tmpUsefulCorners[i].Y - tmpUsefulCorners[i + 1].Y);



277



278
                    //    if (currDistance < 10)



279
                    //    {



280
                    //        usefulCorners.Remove(tmpUsefulCorners[i]);



281
                    //        tmpImage.Draw(new CircleF(tmpUsefulCorners[i + 1], 5), new Bgr(0, 255, 255), 1);



282
                    //    }



283
                    //}



284
                    //tmpImage.Draw(new CircleF(corners[0], 3), new Bgr(0, 255, 0), 1);



285
                    //tmpImage.Draw(new CircleF(corners[1], 3), new Bgr(0, 255, 0), 1);



286



287
                    //if (usefulCorners.Count > 2)



288
                    //{



289
                    //    List<int> distances = new List<int>();



290



291



292
                    //    for (int i = 0; i < usefulCorners.Count; i++)



293
                    //    {



294
                    //        distances.Add(



295
                    //            (corners[0].X - usefulCorners[i].X) * (corners[0].X - usefulCorners[i].X) +



296
                    //            (corners[0].Y - usefulCorners[i].Y) * (corners[0].Y - usefulCorners[i].Y));



297
                    //    }



298



299
                    //    while (usefulCorners.Count != 2)



300
                    //    {



301
                    //        usefulCorners.RemoveAt(distances.IndexOf(distances.Min()));



302
                    //        distances.Remove(distances.Min());



303
                    //    }



304
                    //}



305



306
                    //corners.AddRange(usefulCorners);



191
				}
307
				}



192
			}
308
			}



193
309



194
			return corners;
310
			return corners;



195
		}
311
		}



196
312



197
        private static List<MCvConvexityDefect> realConvexityDefects = new List<MCvConvexityDefect>();
313
        //private static List<MCvConvexityDefect> realConvexityDefects = new List<MCvConvexityDefect>();



198
		private static List<Point> CornersFromConvexityDefects(List<MCvConvexityDefect> convexivityDefects)
314
        //private static void SetRealConvexityDefects(List<MCvConvexityDefect> convexityDefects, Point centerOfMass)



315
        //{



316
        //    float avgOfDepths = 0;



317
        //    for (int i = 0; i < convexityDefects.Count; i++)



318
        //        avgOfDepths += convexityDefects[i].Depth;



319
        //    avgOfDepths /= convexityDefects.Count;



320



321
        //    realConvexityDefects = new List<MCvConvexityDefect>();



322



323
        //    foreach (MCvConvexityDefect defect in convexityDefects)



324
        //        if (defect.Depth > avgOfDepths)



325
        //            realConvexityDefects.Add(defect);



326
            



327
        //}



328



329
		private static List<Point> CornersFromConvexityDefects(CustomContour contour, List<MCvConvexityDefect> realConvexityDefects, Image<Gray, Byte> currPiece)



199
		{
330
		{



331
            List<MCvConvexityDefect> convexivityDefects = contour.ConvexityDefects;



332
            Point centerOfMass = contour.CenterOfMass;



333



200
			List<Point> cornerPoints = new List<Point>();
334
			List<Point> cornerPoints = new List<Point>();



201
335



202
			float avgOfDepths = 0;
336
            //float avgOfDepths = 0;



203
			for (int i = 0; i < convexivityDefects.Count; i++)
337
            //for (int i = 0; i < convexivityDefects.Count; i++)



204
				avgOfDepths += convexivityDefects[i].Depth;
338
            //    avgOfDepths += convexivityDefects[i].Depth;



205
			avgOfDepths /= convexivityDefects.Count;
339
            //avgOfDepths /= convexivityDefects.Count;



206
340



207
			List<MCvConvexityDefect> goodConvexivityDefects = new List<MCvConvexityDefect>();
341
            //List<MCvConvexityDefect> goodConvexivityDefects = new List<MCvConvexityDefect>();



208
            //Image<Bgr, Byte> tmpImage = new Image<Bgr, byte>(currPiece.ImgThresholdedPiece.Bitmap);
342
            List<Point> possibleCornerPoints = new List<Point>();



209
			foreach (MCvConvexityDefect defect in convexivityDefects)



210
                if (defect.Depth > avgOfDepths)



211
                {



212
                    goodConvexivityDefects.Add(defect);



213
                    //tmpImage.Draw(new CircleF(defect.StartPoint, 3), new Bgr(255, 0, 0), 1);



214
                    //tmpImage.Draw(new CircleF(defect.DepthPoint, 3), new Bgr(0, 255, 0), 1);



215
                    //tmpImage.Draw(new CircleF(defect.EndPoint, 3), new Bgr(0, 0, 255), 1);



216
                }



217
343



218
            realConvexityDefects = goodConvexivityDefects;
344
            Image<Bgr, Byte> tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



345
            tmpImage.Draw(new Cross2DF(centerOfMass, 5,5), new Bgr(0,255,0), 1);



219
346



220
			avgOfDepths = 0;
347
            List<double> distancesOfCenterToDepths = new List<double>();



221
			for (int i = 0; i < goodConvexivityDefects.Count; i++)



222
				avgOfDepths += goodConvexivityDefects[i].Depth;



223
			avgOfDepths /= goodConvexivityDefects.Count;



224
348



225
            //avgOfDepths += 1;
349
            foreach (MCvConvexityDefect defect in realConvexityDefects)



226
            //avgOfDepths = (float)Math.Ceiling(avgOfDepths);



227
            List<double> avgDevOfDepts = new List<double>();



228
            double currDev = 0;



229
            double avgOfDev = 0;



230
            for (int i = 0; i < goodConvexivityDefects.Count; i++)



231
            {
350
            {



232
                currDev = avgOfDepths - goodConvexivityDefects[i].Depth;
351
                distancesOfCenterToDepths.Add(



233
                avgDevOfDepts.Add(currDev);
352
                    (centerOfMass.X - defect.DepthPoint.X) * (centerOfMass.X - (int)defect.DepthPoint.X) +



234
                avgOfDev += Math.Abs(currDev);
353
                    (centerOfMass.Y - defect.DepthPoint.Y) * (centerOfMass.Y - (int)defect.DepthPoint.Y)



354
                    );



355
                tmpImage.Draw(new CircleF(defect.StartPoint, 3), new Bgr(255, 0, 0), 1);



356
                tmpImage.Draw(new CircleF(defect.DepthPoint, 3), new Bgr(0, 255, 0), 1);



357
                tmpImage.Draw(new CircleF(defect.EndPoint, 3), new Bgr(0, 0, 255), 1);



235
            }
358
            }



236
            avgOfDev /= goodConvexivityDefects.Count;



237
            avgOfDev *= -1;



238
359



239
			List<Point> possibleCornerPoints = new List<Point>();
360
            double avgOfCenterToDepth = distancesOfCenterToDepths.Average() * 0.85;



240
361



241
            //tmpImage = new Image<Bgr, byte>(currPiece.ImgThresholdedPiece.Bitmap);
362
            for (int i = 0; i < realConvexityDefects.Count; i++)



242
            for (int i = 0; i < goodConvexivityDefects.Count; i++)



243
            {
363
            {



244
                if (avgDevOfDepts[i] > avgOfDev && goodConvexivityDefects[i].Depth < avgOfDepths * 1.12)
364
                if (distancesOfCenterToDepths[i] > avgOfCenterToDepth)



245
                {
365
                {



246
                    possibleCornerPoints.Add(goodConvexivityDefects[i].StartPoint);
366
                    //good convexity defects-be kell ezeket betenni!!!



247
                    possibleCornerPoints.Add(goodConvexivityDefects[i].EndPoint);
367
                    //realConvexityDefects.Add(goodConvexivityDefects[i]);



248
368
                    possibleCornerPoints.Add(realConvexityDefects[i].StartPoint);



249
                    //tmpImage.Draw(new CircleF(goodConvexivityDefects[i].StartPoint, 3), new Bgr(255, 0, 0), 1);
369
                    possibleCornerPoints.Add(realConvexityDefects[i].DepthPoint);



250
                    //tmpImage.Draw(new CircleF(goodConvexivityDefects[i].EndPoint, 3), new Bgr(0, 255, 0), 1); 
370
                    possibleCornerPoints.Add(realConvexityDefects[i].EndPoint);



371
                    tmpImage.Draw(new CircleF(realConvexityDefects[i].DepthPoint, 3), new Bgr(0, 255, 0), -1);



251
                }
372
                }



252
            }
373
            }



253
374



254
			List<double> distances = new List<double>();
375
            //goodConvexivityDefects = realConvexityDefects;



255
            for (int i = 0; i < possibleCornerPoints.Count; i++)
376
            ////realConvexityDefects = goodConvexivityDefects;



256
			{



257
                if (i == possibleCornerPoints.Count - 1)



258
                    distances.Add(Math.Floor(Math.Sqrt(



259
                        (possibleCornerPoints[i].X - possibleCornerPoints[0].X) * (possibleCornerPoints[i].X - possibleCornerPoints[0].X) +



260
                        (possibleCornerPoints[i].Y - possibleCornerPoints[0].Y) * (possibleCornerPoints[i].Y - possibleCornerPoints[0].Y))));



261
                else



262
                    distances.Add(Math.Floor(Math.Sqrt(



263
                        (possibleCornerPoints[i + 1].X - possibleCornerPoints[i].X) * (possibleCornerPoints[i + 1].X - possibleCornerPoints[i].X) +



264
                        (possibleCornerPoints[i + 1].Y - possibleCornerPoints[i].Y) * (possibleCornerPoints[i + 1].Y - possibleCornerPoints[i].Y))));



265
			}



266
377



267
			double avgOfDistances = distances.Average();
378
            //avgOfDepths = 0;



379
            //for (int i = 0; i < goodConvexivityDefects.Count; i++)



380
            //    avgOfDepths += goodConvexivityDefects[i].Depth;



381
            //avgOfDepths /= goodConvexivityDefects.Count;



268
382



269
            List<double> avgDevOfDistances = new List<double>();
383
            ////avgOfDepths += 1;



270
            currDev = 0;
384
            ////avgOfDepths = (float)Math.Ceiling(avgOfDepths);



271
            avgOfDev = 0;
385
            //List<double> avgDevOfDepts = new List<double>();



272
            for (int i = 0; i < distances.Count; i++)
386
            //double currDev = 0;



387
            //double avgOfDev = 0;



388
            //for (int i = 0; i < goodConvexivityDefects.Count; i++)



389
            //{



390
            //    currDev = avgOfDepths - goodConvexivityDefects[i].Depth;



391
            //    avgDevOfDepts.Add(currDev);



392
            //    avgOfDev += Math.Abs(currDev);



393
            //}



394
            //avgOfDev /= goodConvexivityDefects.Count;



395
            //avgOfDev *= -1;



396



397
            //List<Point> possibleCornerPoints = new List<Point>();



398



399
            //tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



400
            //for (int i = 0; i < goodConvexivityDefects.Count; i++)



401
            //{



402
            //    if (avgDevOfDepts[i] > avgOfDev * 1.05 && goodConvexivityDefects[i].Depth < avgOfDepths * 1.12)



403
            //    {



404
            //        possibleCornerPoints.Add(goodConvexivityDefects[i].StartPoint);



405
            //        possibleCornerPoints.Add(goodConvexivityDefects[i].DepthPoint);



406
            //        possibleCornerPoints.Add(goodConvexivityDefects[i].EndPoint);



407



408
            //        tmpImage.Draw(new CircleF(goodConvexivityDefects[i].StartPoint, 3), new Bgr(255, 0, 0), 1);



409
            //        tmpImage.Draw(new CircleF(goodConvexivityDefects[i].DepthPoint, 3), new Bgr(0, 255, 0), 1);



410
            //        tmpImage.Draw(new CircleF(goodConvexivityDefects[i].EndPoint, 3), new Bgr(0, 0, 255), 1);



411
            //    }



412
            //}



413



414
            // !!Uj sarok kivalaszto algoritmus!!



415
            #region sarok kivalasztas



416
            double distA, distB = 0;



417
            Point start, depth, end;



418
            List<Point> goodCornerPoints = new List<Point>();



419
            tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



420
            for (int i = 0; i < possibleCornerPoints.Count; i += 3)



273
            {
421
            {



274
                currDev = avgOfDistances - distances[i];



275
                avgDevOfDistances.Add(currDev);



276
                avgOfDev += Math.Abs(currDev);



277
            }



278
            avgOfDev /= distances.Count;



279
422



280
            avgOfDev *= -1;
423
                // 3 fo pont felvetele az egyertelmuseg miatt



281
            for (int i = 0; i < distances.Count; i++)
424
                start = possibleCornerPoints[i];



282
            {
425
                depth = possibleCornerPoints[i + 1];



283
                if (avgDevOfDistances[i] < avgOfDev)
426
                end = possibleCornerPoints[i + 2];



427



428
                tmpImage.Draw(new CircleF(start, 3), new Bgr(255, 0, 0), -1);



429
                tmpImage.Draw(new CircleF(depth, 3), new Bgr(0, 255, 0), -1);



430
                tmpImage.Draw(new CircleF(end, 3), new Bgr(0, 0, 255), -1);



431



432
                // start es a depth pont tavolsaga



433
                distA = Math.Sqrt(



434
                    (start.X - depth.X) * (start.X - depth.X) +



435
                    (start.Y - depth.Y) * (start.Y - depth.Y));



436
                // end es a depth pont tavolsaga



437
                distB = Math.Sqrt(



438
                    (end.X - depth.X) * (end.X - depth.X) +



439
                    (end.Y - depth.Y) * (end.Y - depth.Y));



440



441
                tmpImage.Draw(new LineSegment2D(start, depth), new Bgr(System.Drawing.Color.Cyan), 2);



442
                tmpImage.Draw(new LineSegment2D(end, depth), new Bgr(System.Drawing.Color.PaleGreen), 2);



443



444
                // Ha nagyon kozel vannak egymashoz akkor ellenorizni kell, hogy biztos sarok pont-e amit annak hisz.



445
                if (Math.Abs(distA - distB) < distB * 0.2)



284
                {
446
                {



285
                    //tmpImage = new Image<Bgr, byte>(currPiece.ImgThresholdedPiece.Bitmap);
447
                    // Ha a start tavolsaga nagyobb



286
                    cornerPoints.Add(possibleCornerPoints[i]);
448
                    if (distA > distB)



449
                    {



450
                        // Kiszamoljuk az elozo/utolso ponttol valo tavolsagot



451
                        if (i != 0)



452
                        {



453
                            distA = Math.Sqrt(



454
                                (start.X - possibleCornerPoints[i - 1].X) * (start.X - possibleCornerPoints[i - 1].X) +



455
                                (start.Y - possibleCornerPoints[i - 1].Y) * (start.Y - possibleCornerPoints[i - 1].Y));



456
                            tmpImage.Draw(new LineSegment2D(start, possibleCornerPoints[i - 1]), new Bgr(System.Drawing.Color.SkyBlue), 1);



457
                        }



458
                        else



459
                        {



460
                            distA = Math.Sqrt(



461
                                (start.X - possibleCornerPoints.Last().X) * (start.X - possibleCornerPoints.Last().X) +



462
                                (start.Y - possibleCornerPoints.Last().Y) * (start.Y - possibleCornerPoints.Last().Y));



463
                            tmpImage.Draw(new LineSegment2D(start, possibleCornerPoints.Last()), new Bgr(System.Drawing.Color.Navy), 1);



464
                        }



287
465



288
                    //tmpImage.Draw(new CircleF(possibleCornerPoints[i], 3), new Bgr(255, 0, 0), 1);
466
                        // Kezdo es vegpont kozotti tavolsag



467
                        distB = Math.Sqrt(



468
                            (end.X - start.X) * (end.X - start.X) +



469
                            (end.Y - start.Y) * (end.Y - start.Y));



289
470



290
                    if (i == distances.Count - 1)
471
                        tmpImage.Draw(new LineSegment2D(end, start), new Bgr(System.Drawing.Color.Orange), 2);



291
                    {
472



292
                        cornerPoints.Add(possibleCornerPoints[0]);
473
                        // Ha a kiszamolt tavolsag kisebb mint a kezdo es vegpont kozotti tavolsag 10%-a vagy



293
                        //tmpImage.Draw(new CircleF(possibleCornerPoints[0], 3), new Bgr(0, 255, 0), 1);
474
                        // nagyobb, mint a ketszerese akkor a kezdo pont lesz a sarok, kulonben a vegpont



475
                        if (distB * 0.1 > distA || distB * 2 < distA)



476
                            goodCornerPoints.Add(start);



477
                        else



478
                            goodCornerPoints.Add(end);



294
                    }
479
                    }



480
                    // Kulonben



295
                    else
481
                    else



296
                    {
482
                    {



297
                        cornerPoints.Add(possibleCornerPoints[i + 1]);
483
                        // Kiszamoljuk a kovetkezo/elso ponttol valo tavolsagot



298
                        //tmpImage.Draw(new CircleF(possibleCornerPoints[i + 1], 3), new Bgr(0, 255, 0), 1);
484
                        if (i != possibleCornerPoints.Count - 3)



485
                        {



486
                            distA = Math.Sqrt(



487
                                (end.X - possibleCornerPoints[i + 3].X) * (end.X - possibleCornerPoints[i + 3].X) +



488
                                (end.Y - possibleCornerPoints[i + 3].Y) * (end.Y - possibleCornerPoints[i + 3].Y));



489
                            tmpImage.Draw(new LineSegment2D(end, possibleCornerPoints[i + 3]), new Bgr(System.Drawing.Color.Red), 2);



490
                        }



491
                        else



492
                        {



493
                            distA = Math.Sqrt(



494
                                (end.X - possibleCornerPoints[0].X) * (end.X - possibleCornerPoints[0].X) +



495
                                (end.Y - possibleCornerPoints[0].Y) * (end.Y - possibleCornerPoints[0].Y));



496
                            tmpImage.Draw(new LineSegment2D(end, possibleCornerPoints[0]), new Bgr(System.Drawing.Color.Purple), 2);



497
                        }



498



499
                        // Kezdo es vegpont kozotti tavolsag



500
                        distB = Math.Sqrt(



501
                            (end.X - start.X) * (end.X - start.X) +



502
                            (end.Y - start.Y) * (end.Y - start.Y));



503
                        tmpImage.Draw(new LineSegment2D(end, start), new Bgr(System.Drawing.Color.Orange), 2);



504



505
                        // Ha a kiszamolt tavolsag kisebb mint a kezdo es vegpont kozotti tavolsag 10%-a vagy



506
                        // nagyobb, mint a ketszerese akkor a kezdo pont lesz a sarok, kulonben a vegpont



507
                        if (distB * 0.1 > distA || distB * 2 < distA)



508
                            goodCornerPoints.Add(end);



509
                        else



510
                            goodCornerPoints.Add(start);



299
                    }
511
                    }



512



300
                }
513
                }



514
                else



515
                {



516
                    // Ha egyertelmuen eldontheto, hogy melyik a nagyobb akkor a nagyobb a sarok



517
                    if (distA > distB)



518
                        goodCornerPoints.Add(start);



519
                    else



520
                        goodCornerPoints.Add(end);



521
                }



522



523



524
                tmpImage.Draw(new CircleF(goodCornerPoints.Last(), 5), new Bgr(System.Drawing.Color.Cyan), -1);



301
            }
525
            }



526
            #endregion



302
527



303
            //Image<Bgr, Byte> tmpImage = new Image<Bgr, byte>(currPiece.ImgPiece.Bitmap);
528
            // kozeli sarkok szurese



304
529



530
			List<double> distancesOfGoodCorners = new List<double>();



531



532
            for (int i = 0; i < goodCornerPoints.Count(); i++)



533
            {



534
                if (i == goodCornerPoints.Count - 1)



535
                {



536
                    distancesOfGoodCorners.Add(Math.Floor(Math.Sqrt(



537
                        (goodCornerPoints[i].X - goodCornerPoints[0].X) * (goodCornerPoints[i].X - goodCornerPoints[0].X) +



538
                        (goodCornerPoints[i].Y - goodCornerPoints[0].Y) * (goodCornerPoints[i].Y - goodCornerPoints[0].Y))));



539
                    tmpImage.Draw(new LineSegment2D(goodCornerPoints[i], goodCornerPoints[0]), new Bgr(System.Drawing.Color.Beige), 3);



540
                    tmpImage.Draw(new CircleF(goodCornerPoints[i], 5), new Bgr(System.Drawing.Color.Cyan), -1);



541
                    tmpImage.Draw(new CircleF(goodCornerPoints[0], 5), new Bgr(System.Drawing.Color.DarkOliveGreen), -1);



542
                }



543
                else



544
                {



545
                    distancesOfGoodCorners.Add(Math.Floor(Math.Sqrt(



546
                       (goodCornerPoints[i + 1].X - goodCornerPoints[i].X) * (goodCornerPoints[i + 1].X - goodCornerPoints[i].X) +



547
                       (goodCornerPoints[i + 1].Y - goodCornerPoints[i].Y) * (goodCornerPoints[i + 1].Y - goodCornerPoints[i].Y))));



548
                    tmpImage.Draw(new LineSegment2D(goodCornerPoints[i + 1], goodCornerPoints[i]), new Bgr(System.Drawing.Color.Beige), 3);



549
                    tmpImage.Draw(new CircleF(goodCornerPoints[i + 1], 5), new Bgr(System.Drawing.Color.Cyan), -1);



550
                    tmpImage.Draw(new CircleF(goodCornerPoints[i], 5), new Bgr(System.Drawing.Color.DarkOliveGreen), -1);



551
                }



552
            }



553



554
            double distMin = distancesOfGoodCorners.Min();



555
            double distAvg = distancesOfGoodCorners.Average();



556



557
            //tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



558
            



559
            List<Point> contourPoints = contour.GetUnsortedContourPoints();



560
            



561
            for (int i = 0; i < distancesOfGoodCorners.Count; i++)



562
            {



563
                if (distancesOfGoodCorners.Max() * 0.1 > distancesOfGoodCorners[i])



564
                {



565
                    int falseCorner1Idx = contourPoints.IndexOf(goodCornerPoints[i]);



566
                    int falseCorner2Idx = contourPoints.IndexOf(goodCornerPoints[i + 1]);



567
                    int finalCornerIdx = 0;



568
                    if (falseCorner1Idx != falseCorner2Idx)



569
                        finalCornerIdx = (int)Math.Ceiling((falseCorner1Idx + falseCorner2Idx) / 2.0);



570
                    else



571
                        finalCornerIdx = falseCorner2Idx;



572



573
                    cornerPoints.Add(contourPoints[finalCornerIdx]);



574
                    tmpImage.Draw(new CircleF(cornerPoints.Last(), 3), new Bgr(0, 0, 255), -1);



575
                    i++;



576
                    //tmpImage.Draw(new CircleF(contourPoints[falseCorner1Idx], 1), new Bgr(System.Drawing.Color.HotPink), -1);



577
                    //tmpImage.Draw(new CircleF(contourPoints[falseCorner2Idx], 1), new Bgr(System.Drawing.Color.Aquamarine), -1);



578
                    //tmpImage.Draw(new CircleF(contourPoints[finalCornerIdx], 1), new Bgr(System.Drawing.Color.Brown), -1);



579
                }



580
                else



581
                {



582
                    cornerPoints.Add(goodCornerPoints[i]);



583
                    tmpImage.Draw(new CircleF(cornerPoints.Last(), 3), new Bgr(0, 0, 255), -1);



584
                }



585
            }



586



587
            //for (int i = 0; i < possibleCornerPoints.Count; i++)



588
            //{



589
            //    if (i == possibleCornerPoints.Count - 1)



590
            //    {



591
            //        distancesOfGoodCorners.Add(Math.Floor(Math.Sqrt(



592
            //            (possibleCornerPoints[i].X - possibleCornerPoints[0].X) * (possibleCornerPoints[i].X - possibleCornerPoints[0].X) +



593
            //            (possibleCornerPoints[i].Y - possibleCornerPoints[0].Y) * (possibleCornerPoints[i].Y - possibleCornerPoints[0].Y))));



594
            //        tmpImage.Draw(new LineSegment2D(possibleCornerPoints[i], possibleCornerPoints[0]), new Bgr(System.Drawing.Color.Beige), 3);



595
            //        tmpImage.Draw(new CircleF(possibleCornerPoints[i], 5), new Bgr(System.Drawing.Color.Cyan), -1);



596
            //        tmpImage.Draw(new CircleF(possibleCornerPoints[0], 5), new Bgr(System.Drawing.Color.DarkOliveGreen), -1);



597
            //    }



598
            //    else



599
            //    {



600
            //        distancesOfGoodCorners.Add(Math.Floor(Math.Sqrt(



601
            //           (possibleCornerPoints[i + 1].X - possibleCornerPoints[i].X) * (possibleCornerPoints[i + 1].X - possibleCornerPoints[i].X) +



602
            //           (possibleCornerPoints[i + 1].Y - possibleCornerPoints[i].Y) * (possibleCornerPoints[i + 1].Y - possibleCornerPoints[i].Y))));



603
            //        tmpImage.Draw(new LineSegment2D(possibleCornerPoints[i+1], possibleCornerPoints[i]), new Bgr(System.Drawing.Color.Beige), 3);



604
            //        tmpImage.Draw(new CircleF(possibleCornerPoints[i+1], 5), new Bgr(System.Drawing.Color.Cyan), -1);



605
            //        tmpImage.Draw(new CircleF(possibleCornerPoints[i], 5), new Bgr(System.Drawing.Color.DarkOliveGreen), -1);



606
            //    }



607
            //}



608



609
            //double avgOfDistances = distancesOfGoodCorners.Average();



610



611
            //List<double> avgDevOfDistances = new List<double>();



612
            //currDev = 0;



613
            //avgOfDev = 0;



614
            //for (int i = 0; i < distances.Count; i++)



615
            //{



616
            //    currDev = avgOfDistances - distances[i];



617
            //    avgDevOfDistances.Add(currDev);



618
            //    avgOfDev += Math.Abs(currDev);



619
            //}



620
            //avgOfDev /= distances.Count;



621



622
            //avgOfDev *= -1;



623
            //for (int i = 0; i < distances.Count; i++)



624
            //{



625
            //    if (avgDevOfDistances[i] < avgOfDev)



626
            //    {



627
            //        tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



628
            //        cornerPoints.Add(possibleCornerPoints[i]);



629



630
            //        tmpImage.Draw(new CircleF(possibleCornerPoints[i], 3), new Bgr(255, 0, 0), 1);



631



632
            //        if (i == distances.Count - 1)



633
            //        {



634
            //            cornerPoints.Add(possibleCornerPoints[0]);



635
            //            tmpImage.Draw(new CircleF(possibleCornerPoints[0], 3), new Bgr(0, 255, 0), 1);



636
            //        }



637
            //        else



638
            //        {



639
            //            cornerPoints.Add(possibleCornerPoints[i + 1]);



640
            //            tmpImage.Draw(new CircleF(possibleCornerPoints[i + 1], 3), new Bgr(0, 255, 0), 1);



641
            //        }



642
            //    }



643
            //}



644



645
            //tmpImage = new Image<Bgr, byte>(currPiece.Bitmap);



646



305
            //for (int i = 0; i < cornerPoints.Count; i++)
647
            //for (int i = 0; i < cornerPoints.Count; i++)



306
            //{
648
            //{



307
            //    tmpImage.Draw(new CircleF(cornerPoints[i], 3), new Bgr(0, 0, 255), -1);
649
            //    tmpImage.Draw(new CircleF(cornerPoints[i], 3), new Bgr(0, 255, 0), -1);



308
            //}
650
            //}



309
            
651
            



310
			return cornerPoints;
652
			return cornerPoints;



311
		}
653
		}



654
        private static List<Point> CornersFromNonOutboundedPieces(MCvBox2D minAreaRect, CustomContour contour)



655
        {



656
            Point a = new Point((int)minAreaRect.center.X - (int)minAreaRect.size.Width / 2, (int)minAreaRect.center.Y - (int)minAreaRect.size.Height / 2);



657
            Point b = new Point((int)minAreaRect.center.X - (int)minAreaRect.size.Width / 2, (int)minAreaRect.center.Y + (int)minAreaRect.size.Height / 2);



658
            Point c = new Point((int)minAreaRect.center.X + (int)minAreaRect.size.Width / 2, (int)minAreaRect.center.Y + (int)minAreaRect.size.Height / 2);



659
            Point d = new Point((int)minAreaRect.center.X + (int)minAreaRect.size.Width / 2, (int)minAreaRect.center.Y - (int)minAreaRect.size.Height / 2);



312
660



313
        public static List<PuzzleSide> GetSides(Contour<Point> contour, List<Point> corners, Image<Bgr, Byte> imgMaskedPiece)
661
            int minOfA, minOfB, minOfC, minOfD;



662
            minOfA = minOfB = minOfC = minOfD = 5000;



663
            int minIdxOfA, minIdxOfB, minIdxOfC, minIdxOfD, currDistOfA, currDistOfB, currDistOfC, currDistOfD;



664
            minIdxOfA = minIdxOfB = minIdxOfC = minIdxOfD = currDistOfA = currDistOfB = currDistOfC = currDistOfD = 0;



665
            double range = minAreaRect.size.Width * 0.3;



666
            Stopwatch sw = new Stopwatch();



667
            sw.Restart();



668
            Point currContourPoint;



669
            Parallel.For(0, contour.OriginalContour.Count(), i =>



670
            {



671
                currContourPoint = contour.OriginalContour[i];



672
                if (a.X + range > currContourPoint.X && a.Y + range > currContourPoint.Y)



673
                {



674
                    currDistOfA = (a.X - currContourPoint.X) * (a.X - currContourPoint.X) + (a.Y - currContourPoint.Y) * (a.Y - currContourPoint.Y);



675
                    if (currDistOfA < minOfA)



676
                    {



677
                        minIdxOfA = i;



678
                        minOfA = currDistOfA;



679
                    }



680
                }



681
                if (b.X + range > currContourPoint.X && b.Y - range < currContourPoint.Y)



682
                {



683
                    currDistOfB = (b.X - currContourPoint.X) * (b.X - currContourPoint.X) + (b.Y - currContourPoint.Y) * (b.Y - currContourPoint.Y);



684
                    if (currDistOfB < minOfB)



685
                    {



686
                        minIdxOfB = i;



687
                        minOfB = currDistOfB;



688
                    }



689
                }



690



691
                if (c.X - range < currContourPoint.X && c.Y - range < currContourPoint.Y)



692
                {



693
                    currDistOfC = (c.X - currContourPoint.X) * (c.X - currContourPoint.X) + (c.Y - currContourPoint.Y) * (c.Y - currContourPoint.Y);



694
                    if (currDistOfC < minOfC)



695
                    {



696
                        minIdxOfC = i;



697
                        minOfC = currDistOfC;



698
                    }



699
                }



700



701
                if (d.X - range < currContourPoint.X && d.Y + range > currContourPoint.Y)



702
                {



703
                    currDistOfD = (d.X - currContourPoint.X) * (d.X - currContourPoint.X) + (d.Y - currContourPoint.Y) * (d.Y - currContourPoint.Y);



704
                    if (currDistOfD < minOfD)



705
                    {



706
                        minIdxOfD = i;



707
                        minOfD = currDistOfD;



708
                    }



709
                }



710



711
            });



712
            sw.Stop();



713
            List<Point> corners = new List<Point>();



714
            



715
            corners.Add(contour.OriginalContour[minIdxOfA]);



716
            corners.Add(contour.OriginalContour[minIdxOfB]);



717
            corners.Add(contour.OriginalContour[minIdxOfC]);



718
            corners.Add(contour.OriginalContour[minIdxOfD]);



719



720
            return corners;



721
        }



722



723
        public static List<PuzzleSide> GetSides(Contour<Point> contour, List<Point> corners, List<MCvConvexityDefect> realConvexityDefects, Image<Bgr, Byte> imgMaskedPiece)



314
        {
724
        {



315
            List<PuzzleSide> sides = new List<PuzzleSide>();
725
            List<PuzzleSide> sides = new List<PuzzleSide>();



316
            List<Point> contourPoints = contour.ToList();
726
            List<Point> contourPoints = contour.ToList();





          

  Updated
trunk/JPS_PuzzleDetectorWithCam/JPS_PuzzleDetectorWithCam/PuzzlePiece.cs  Download diff




      
      
6768
103
            set { position = value; }
103
            set { position = value; }



104
        }
104
        }



105
105



106
		public PuzzlePiece(Image<Bgr, Byte> colourPiece, string puzzleName, Point puzzlePosition)
106
        private List<MCvConvexityDefect> realConvexityDefects = new List<MCvConvexityDefect>();



107
        private void SetRealConvexityDefects(List<MCvConvexityDefect> convexityDefects, Point centerOfMass)



108
        {



109
            float avgOfDepths = 0;



110
            for (int i = 0; i < convexityDefects.Count; i++)



111
                avgOfDepths += convexityDefects[i].Depth;



112
            avgOfDepths /= convexityDefects.Count;



113



114
            realConvexityDefects = new List<MCvConvexityDefect>();



115



116
            foreach (MCvConvexityDefect defect in convexityDefects)



117
                if (defect.Depth > avgOfDepths)



118
                    realConvexityDefects.Add(defect);



119



120
        }



121



122



123
        public PuzzlePiece(Image<Bgr, Byte> colourPiece, string puzzleName, Point puzzlePosition)



107
		{
124
		{



108
            name = puzzleName;
125
            name = puzzleName;



109
            iD = PuzzleFunction.PuzzlePieces.Count();
126
            iD = PuzzleFunction.PuzzlePieces.Count();


...
...
123
140



124
            position = puzzlePosition;
141
            position = puzzlePosition;



125
142



126
            imgThresholdedPiece = ImageFunction.BinarizeHSV(colourPiece, 130);
143
            imgThresholdedPiece = ImageFunction.Binarize(colourPiece, 152);



127
            imgThresholdedPiece = imgThresholdedPiece.Erode(2);
144
            //imgThresholdedPiece = imgThresholdedPiece.Erode(2);



128
            imgThresholdedPiece = imgThresholdedPiece.Dilate(2);
145
            //imgThresholdedPiece = imgThresholdedPiece.Dilate(2);



129
146



130
147



131
            Image<Bgr, Byte> tmp = new Image<Bgr, byte>(imgThresholdedPiece.Bitmap);
148
            Image<Bgr, Byte> tmp = new Image<Bgr, byte>(imgThresholdedPiece.Bitmap);


...
...
135
            if (rawContours.Count != 0)
152
            if (rawContours.Count != 0)



136
            {
153
            {



137
                //CustomContour contour = ImageFunction.GetContours(imgThresholdedPiece, .5)[0];
154
                //CustomContour contour = ImageFunction.GetContours(imgThresholdedPiece, .5)[0];



155



156
                tmp = new Image<Bgr, byte>(imgThresholdedPiece.Bitmap);



157
                tmp.Draw(rawContours[0].OriginalContour, new Bgr(0,255,0), 1);



158



138
                CustomContour contour = rawContours[0];
159
                CustomContour contour = rawContours[0];



139
160



140
                List<Point> corners = SortCorners(PuzzleFunction.GetCorners(imgPiece, contour), contour.GetUnsortedContourPoints());
161
                SetRealConvexityDefects(contour.ConvexityDefects, contour.CenterOfMass);



141
162



142
                sides = PuzzleFunction.GetSides(contour.OriginalContour, corners, imgMaskedPiece);
163
                List<Point> corners = SortCorners(PuzzleFunction.GetCorners(imgPiece, contour, realConvexityDefects), contour.GetUnsortedContourPoints());



143
164



165
                sides = PuzzleFunction.GetSides(contour.OriginalContour, corners, realConvexityDefects, imgMaskedPiece);



166



144
                SetPieceType();
167
                SetPieceType();



145



146
                SortSides();
168
                SortSides();



147
169



170
                



148
                signature = GetSignature(sides, contour.CenterOfMass);
171
                signature = GetSignature(sides, contour.CenterOfMass);



172



149
            }
173
            }



150
            else
174
            else



151
            {
175
            {