修改关闭检测

HisenceYoloDetection/CheckDiffSciHelper.cs

@@ -1,4 +1,5 @@
 using OpenCvSharp;
+using OpenCvSharp.Flann;
 using Sunny.UI.Win32;
 using System;
 using System.Collections.Generic;
@@ -10,7 +11,10 @@ using static System.Net.Mime.MediaTypeNames;
 using Point = OpenCvSharp.Point;
 using Size = OpenCvSharp.Size;
 
-
+using OpenCvSharp;
+using OpenCvSharp.Features2D;
+using OpenCvSharp.Flann;
+using System.Drawing;
 
 namespace HisenceYoloDetection
 {
@@ -57,6 +61,9 @@ namespace HisenceYoloDetection
                 return false;
             }
             // Cv2.Resize(img2, img2, new Size(550, 270));
+
+            Rect bottomleftRect= new Rect(0,img1.Height-30,30,30);
+            Scalar avgColor1 = Cv2.Mean(new Mat(img1,bottomleftRect));
             Mat gimg2 = new Mat();
             Cv2.CvtColor(img2, gimg2, ColorConversionCodes.BGR2GRAY);
             Mat thr2 = new Mat();
@@ -73,9 +80,9 @@ namespace HisenceYoloDetection
 
             //Rect  area2 = new Rect(148,30,229,222);
             sqlrect.Width += 20;
-            sqlrect.Height += 60;
+            sqlrect.Height+= 100;
             detrect.Width += 20;
-            detrect.Height += 60;
+            detrect.Height+=100;
             Mat matCutblack1 = new Mat(thr1, sqlrect);
 
             if (IfWhiteWord)
@@ -100,14 +107,14 @@ namespace HisenceYoloDetection
             DateTime dt = DateTime.Now;
             string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
 
-            //string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
+            string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
-            //// 保存结果
+            // 保存结果
 
-            //Cv2.ImWrite(savePath4, thr1);
+            Cv2.ImWrite(savePath4, thr1);
-            //string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
+            string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
-            //// 保存结果
+            // 保存结果
 
-            //Cv2.ImWrite(savePath3, thr2);
+            Cv2.ImWrite(savePath3, thr2);
 
             // 创建卷积核
             Mat filter1 = new Mat(15, 15, MatType.CV_32F, new Scalar(0));
@@ -128,12 +135,12 @@ namespace HisenceYoloDetection
 
 
             //string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + "_final_result1.png");
-            //// 保存结果
+            ////保存结果
-            ////string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+            //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
             //Cv2.ImWrite(savePath2, final_result1);
             //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + "_final_result2.png");
-            //// 保存结果
+            ////保存结果
-            ////string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
+            //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
             //Cv2.ImWrite(savePath, final_result2);
 
 
@@ -253,12 +260,14 @@ namespace HisenceYoloDetection
             {
                 // 读取和处理第一张图片
                 Mat img1 = Cv2.ImRead(path1, ImreadModes.Color);
+
                 if (img1.Empty())
                 {
                     Console.WriteLine($"Error loading image {path1}");
                     return false;
                 }
                 //  Cv2.Resize(img1, img1, new Size(550, 270));
+                img1 = RemoveBorders(img1);
                 Mat gimg1 = new Mat();
                 Cv2.CvtColor(img1, gimg1, ColorConversionCodes.BGR2GRAY);
                 Mat thr1 = new Mat();
@@ -283,6 +292,7 @@ namespace HisenceYoloDetection
                     return false;
                 }
                 // Cv2.Resize(img2, img2, new Size(550, 270));
+                img2 = RemoveBorders(img2);
                 Mat gimg2 = new Mat();
                 Cv2.CvtColor(img2, gimg2, ColorConversionCodes.BGR2GRAY);
                 Mat thr2 = new Mat();
@@ -338,7 +348,7 @@ namespace HisenceYoloDetection
 
                 Mat filter1 = new Mat(15, 15, MatType.CV_32F, new Scalar(0));
                 filter1.Row(7).SetTo(new Scalar(0.025));
-                filter1.Row(7).SetTo(new Scalar(0.025));
+                filter1.Col(7).SetTo(new Scalar(0.025));
 
 
 
@@ -388,8 +398,8 @@ namespace HisenceYoloDetection
 
                 Cv2.ImWrite(savePathd1, devIMG_);
                 // 对差异图像应用阈值
-                Cv2.Threshold(devIMG, devIMG, 9, 255, ThresholdTypes.Binary);
+                Cv2.Threshold(devIMG, devIMG, 8, 255, ThresholdTypes.Binary);
-                Cv2.Threshold(devIMG_, devIMG_, 9, 255, ThresholdTypes.Binary);
+                Cv2.Threshold(devIMG_, devIMG_, 8, 255, ThresholdTypes.Binary);
 
                 // 结合差异
                 Mat sumIMG = new Mat();
@@ -433,7 +443,100 @@ namespace HisenceYoloDetection
                 Cv2.ImWrite(savePath, blackhatImg);
                 return isMatch;
             }
+            static Mat RemoveBorders(Mat image)
+            {
+                // 将图像转换为灰度图
+                Mat grayImage = new Mat();
+                Cv2.CvtColor(image, grayImage, ColorConversionCodes.BGR2GRAY);
+
+                // 使用自适应二值化将图像变为黑白图
+                Mat binaryImage = new Mat();
+                Cv2.AdaptiveThreshold(grayImage, binaryImage, 255, AdaptiveThresholdTypes.MeanC, ThresholdTypes.Binary, 11, 2);
+
+                // 反转颜色
+                Mat invertedBinaryImage = new Mat();
+                Cv2.BitwiseNot(binaryImage, invertedBinaryImage);
+
+                // 查找轮廓
+                Point[][] contours;
+                HierarchyIndex[] hierarchy;
+                Cv2.FindContours(invertedBinaryImage, out contours, out hierarchy, RetrievalModes.External, ContourApproximationModes.ApproxSimple);
+
+                // 找到包含最大面积的轮廓
+                double maxArea = 0;
+                Point[] maxContour = null;
+                foreach (var contour in contours)
+                {
+                    double area = Cv2.ContourArea(contour);
+                    if (area > maxArea)
+                    {
+                        maxArea = area;
+                        maxContour = contour;
+                    }
+                }
+
+                if (maxContour == null)
+                {
+                    Console.WriteLine("未找到有效轮廓！");
+                    return image;
+                }
+
+                // 找到平行四边形的四个顶点
+                Point[] approx = Cv2.ApproxPolyDP(maxContour, Cv2.ArcLength(maxContour, true) * 0.02, true);
+                Point2f[] srcPoints = approx.Select(p => new Point2f(p.X, p.Y)).ToArray();
+
+                if (srcPoints.Length != 4)
+                {
+                    Console.WriteLine("未找到平行四边形的四个顶点！");
+                    return image;
+                }
+
+                // 按顺时针顺序对顶点进行排序
+                srcPoints = OrderPoints(srcPoints);
+
+                // 确定目标图像的四个顶点
+                Point2f[] dstPoints = new Point2f[]
+                {
+            new Point2f(0, 0),
+            new Point2f(image.Width - 1, 0),
+            new Point2f(image.Width - 1, image.Height - 1),
+            new Point2f(0, image.Height - 1)
+                };
+
+                // 计算透视变换矩阵
+                Mat transformMatrix = Cv2.GetPerspectiveTransform(srcPoints, dstPoints);
+
+                // 应用透视变换
+                Mat warpedImage = new Mat();
+                Cv2.WarpPerspective(image, warpedImage, transformMatrix, new Size(image.Width, image.Height));
+
+                return warpedImage;
+            }
+
+            private static Point2f[] OrderPoints(Point2f[] points)
+            {
+                // 对顶点进行排序，顺时针顺序
+                Point2f[] orderedPoints = new Point2f[4];
+
+                // 计算质心
+                Point2f center = new Point2f(points.Average(p => p.X), points.Average(p => p.Y));
+
+                foreach (var point in points)
+                {
+                    if (point.X < center.X && point.Y < center.Y)
+                        orderedPoints[0] = point; // 左上
+                    else if (point.X > center.X && point.Y < center.Y)
+                        orderedPoints[1] = point; // 右上
+                    else if (point.X > center.X && point.Y > center.Y)
+                        orderedPoints[2] = point; // 右下
+                    else if (point.X < center.X && point.Y > center.Y)
+                        orderedPoints[3] = point; // 左下
+                }
+
+                return orderedPoints;
+            }
         }
     }
-}
+    }
+
         

HisenceYoloDetection/MainForm.Designer.cs

@@ -29,6 +29,9 @@
         private void InitializeComponent()
         {
             components = new System.ComponentModel.Container();
+            OpenCvSharp.Mat mat1 = new OpenCvSharp.Mat();
+            OpenCvSharp.Mat mat2 = new OpenCvSharp.Mat();
+            OpenCvSharp.Mat mat3 = new OpenCvSharp.Mat();
             System.ComponentModel.ComponentResourceManager resources = new System.ComponentModel.ComponentResourceManager(typeof(MainForm));
             tabPage2 = new TabPage();
             panel1 = new Panel();
@@ -120,6 +123,9 @@
             panel4 = new Panel();
             panel5 = new Panel();
             groupBox2 = new GroupBox();
+            canvas3 = new XKRS.UI.Canvas();
+            canvas2 = new XKRS.UI.Canvas();
+            canvas1 = new XKRS.UI.Canvas();
             originMatShow = new PictureBox();
             ResultMatShow = new PictureBox();
             panel8 = new Panel();
@@ -178,6 +184,7 @@
             timer6 = new System.Windows.Forms.Timer(components);
             richTextBox1 = new RichTextBox();
             backgroundWorker1 = new System.ComponentModel.BackgroundWorker();
+            CloseDecBtn = new Button();
             tabPage2.SuspendLayout();
             panel1.SuspendLayout();
             groupBox5.SuspendLayout();
@@ -1188,6 +1195,9 @@
             // groupBox2
             // 
             groupBox2.AutoSize = true;
+            groupBox2.Controls.Add(canvas3);
+            groupBox2.Controls.Add(canvas2);
+            groupBox2.Controls.Add(canvas1);
             groupBox2.Controls.Add(originMatShow);
             groupBox2.Controls.Add(ResultMatShow);
             groupBox2.Location = new Point(0, 0);
@@ -1200,6 +1210,70 @@
             groupBox2.Text = "图片";
             groupBox2.Enter += groupBox2_Enter;
             // 
+            // canvas3
+            // 
+            canvas3.AllowSelectDefect = true;
+            canvas3.BrushColor = null;
+            canvas3.ImagePath = "";
+            mat1.IsEnabledDispose = true;
+            canvas3.ImaMAt = mat1;
+            canvas3.ImgData = null;
+            canvas3.Location = new Point(8, 467);
+            canvas3.MoveStep = 5F;
+            canvas3.Name = "canvas3";
+            canvas3.Route = 0D;
+            canvas3.Scale = 1D;
+            canvas3.Size = new Size(351, 223);
+            canvas3.TabIndex = 6;
+            canvas3.WholeScale = 0F;
+            canvas3.XMove = 0F;
+            canvas3.XScale = 0F;
+            canvas3.YMove = 0F;
+            canvas3.YScale = 0F;
+            // 
+            // canvas2
+            // 
+            canvas2.AllowSelectDefect = true;
+            canvas2.BrushColor = null;
+            canvas2.ImagePath = "";
+            mat2.IsEnabledDispose = true;
+            canvas2.ImaMAt = mat2;
+            canvas2.ImgData = null;
+            canvas2.Location = new Point(367, 240);
+            canvas2.MoveStep = 5F;
+            canvas2.Name = "canvas2";
+            canvas2.Route = 0D;
+            canvas2.Scale = 1D;
+            canvas2.Size = new Size(363, 205);
+            canvas2.TabIndex = 5;
+            canvas2.WholeScale = 0F;
+            canvas2.XMove = 0F;
+            canvas2.XScale = 0F;
+            canvas2.YMove = 0F;
+            canvas2.YScale = 0F;
+            // 
+            // canvas1
+            // 
+            canvas1.AllowSelectDefect = true;
+            canvas1.BrushColor = null;
+            canvas1.ImagePath = "";
+            mat3.IsEnabledDispose = true;
+            canvas1.ImaMAt = mat3;
+            canvas1.ImgData = null;
+            canvas1.Location = new Point(8, 237);
+            canvas1.MoveStep = 5F;
+            canvas1.Name = "canvas1";
+            canvas1.Route = 0D;
+            canvas1.Scale = 1D;
+            canvas1.Size = new Size(351, 208);
+            canvas1.TabIndex = 4;
+            canvas1.WholeScale = 0F;
+            canvas1.XMove = 0F;
+            canvas1.XScale = 0F;
+            canvas1.YMove = 0F;
+            canvas1.YScale = 0F;
+            canvas1.Load += canvas1_Load;
+            // 
             // originMatShow
             // 
             originMatShow.Location = new Point(8, 21);
@@ -1222,6 +1296,7 @@
             // 
             // panel8
             // 
+            panel8.Controls.Add(CloseDecBtn);
             panel8.Controls.Add(label24);
             panel8.Controls.Add(ScannerBox);
             panel8.Controls.Add(textBox2);
@@ -1324,7 +1399,7 @@
             // 
             // OKDNum
             // 
-            OKDNum.Location = new Point(130, 196);
+            OKDNum.Location = new Point(129, 249);
             OKDNum.Margin = new Padding(4, 2, 4, 2);
             OKDNum.Name = "OKDNum";
             OKDNum.ReadOnly = true;
@@ -1334,7 +1409,7 @@
             // label20
             // 
             label20.AutoSize = true;
-            label20.Location = new Point(32, 201);
+            label20.Location = new Point(31, 254);
             label20.Margin = new Padding(4, 0, 4, 0);
             label20.Name = "label20";
             label20.Size = new Size(56, 17);
@@ -1343,7 +1418,7 @@
             // 
             // NGDNum
             // 
-            NGDNum.Location = new Point(130, 153);
+            NGDNum.Location = new Point(129, 206);
             NGDNum.Margin = new Padding(4, 2, 4, 2);
             NGDNum.Name = "NGDNum";
             NGDNum.ReadOnly = true;
@@ -1353,7 +1428,7 @@
             // label19
             // 
             label19.AutoSize = true;
-            label19.Location = new Point(32, 156);
+            label19.Location = new Point(31, 209);
             label19.Margin = new Padding(4, 0, 4, 0);
             label19.Name = "label19";
             label19.Size = new Size(57, 17);
@@ -1362,7 +1437,7 @@
             // 
             // AllDSum
             // 
-            AllDSum.Location = new Point(130, 111);
+            AllDSum.Location = new Point(129, 164);
             AllDSum.Margin = new Padding(4, 2, 4, 2);
             AllDSum.Name = "AllDSum";
             AllDSum.ReadOnly = true;
@@ -1372,7 +1447,7 @@
             // label18
             // 
             label18.AutoSize = true;
-            label18.Location = new Point(32, 114);
+            label18.Location = new Point(31, 167);
             label18.Margin = new Padding(4, 0, 4, 0);
             label18.Name = "label18";
             label18.Size = new Size(50, 17);
@@ -1747,6 +1822,17 @@
             richTextBox1.TabIndex = 1;
             richTextBox1.Text = "";
             // 
+            // CloseDecBtn
+            // 
+            CloseDecBtn.Location = new Point(170, 109);
+            CloseDecBtn.Margin = new Padding(4, 2, 4, 2);
+            CloseDecBtn.Name = "CloseDecBtn";
+            CloseDecBtn.Size = new Size(121, 40);
+            CloseDecBtn.TabIndex = 20;
+            CloseDecBtn.Text = "关闭检测";
+            CloseDecBtn.UseVisualStyleBackColor = true;
+            CloseDecBtn.Click += CloseDecBtn_Click;
+            // 
             // MainForm
             // 
             AutoScaleDimensions = new SizeF(8F, 17F);
@@ -1955,8 +2041,8 @@
         private Label label35;
         private TextBox textBox2;
         private Label label36;
-        private XKRS.UI.Canvas canvas5;
+        //private XKRS.UI.Canvas canvas5;
-        private XKRS.UI.Canvas canvas4;
+        //private XKRS.UI.Canvas canvas4;
         private XKRS.UI.Canvas canvas3;
         private XKRS.UI.Canvas canvas1;
         private XKRS.UI.Canvas canvas6;
@@ -1964,5 +2050,6 @@
         private Button button1;
         private Label label24;
         private TextBox ScannerBox;
+        private Button CloseDecBtn;
     }
 }

HisenceYoloDetection/MainForm.resx

@@ -142,7 +142,7 @@
     <value>733, 17</value>
   </metadata>
   <metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
-    <value>52</value>
+    <value>25</value>
   </metadata>
   <assembly alias="System.Drawing" name="System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
   <data name="$this.Icon" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">