模板匹配

AOI/AOI.csproj

@@ -61,6 +61,7 @@
   </ItemGroup>
   </ItemGroup>
   <ItemGroup>
   <ItemGroup>
     <Compile Include="AoiProject.cs" />
     <Compile Include="AoiProject.cs" />
+    <Compile Include="match\AoiTemplateMethod.cs" />
     <Compile Include="util\Base64Util.cs" />
     <Compile Include="util\Base64Util.cs" />
     <Compile Include="util\ImageUtil.cs" />
     <Compile Include="util\ImageUtil.cs" />
     <Compile Include="AoiMethod.cs" />
     <Compile Include="AoiMethod.cs" />

AOI/ResultBean.cs

@@ -18,9 +18,13 @@ namespace AOI
         /// AOI检测结果，true表示OK, false表示NG
         /// AOI检测结果，true表示OK, false表示NG
         /// </summary>
         /// </summary>
         public bool result = false;
         public bool result = false;
-
+        /// <summary>
+        /// 标准区域图片
+        /// </summary>
         public Image standardRoiImage;
         public Image standardRoiImage;
-
+        /// <summary>
+        /// 当前区域图片
+        /// </summary>
         public Image currentRoiImage;
         public Image currentRoiImage;
 
 
         public GraphicsPath roiPath;
         public GraphicsPath roiPath;

AOI/mark/AoiMarkMethod.cs

@@ -87,8 +87,12 @@ namespace AOI
                 Mat searchMat = ImageUtil.ToMat(new Bitmap(searchImage));
                 Mat searchMat = ImageUtil.ToMat(new Bitmap(searchImage));
                 Mat markMat = ImageUtil.ToMat(new Bitmap(markImage));
                 Mat markMat = ImageUtil.ToMat(new Bitmap(markImage));
 
 
-                //Cv2.CvtColor(searchMat, searchMat, ColorConversionCodes.RGB2GRAY);
-                //Cv2.CvtColor(markMat, markMat, ColorConversionCodes.RGB2GRAY);
+                //Mat graySearchMat = new Mat();
+                //Mat grayMarkMat = new Mat();
+                //Cv2.CvtColor(searchMat, graySearchMat, ColorConversionCodes.RGB2GRAY);
+                //Cv2.CvtColor(markMat, grayMarkMat, ColorConversionCodes.RGB2GRAY);
+                //double same = Cv2.MatchShapes(grayMarkMat, graySearchMat, ShapeMatchModes.I1);
+                //Console.WriteLine("===============" + same);
 
 
                 Mat result = new Mat(searchMat.Cols - markMat.Cols + 1, searchMat.Rows - markMat.Cols + 1, MatType.CV_32FC1);
                 Mat result = new Mat(searchMat.Cols - markMat.Cols + 1, searchMat.Rows - markMat.Cols + 1, MatType.CV_32FC1);
                 
                 
@@ -104,15 +108,10 @@ namespace AOI
                 //画出匹配的矩，
                 //画出匹配的矩，
                 //  Cv2.Rectangle(mat1, maxLocation, new Point (maxLocation.X+mat2.Cols, maxLocation.Y+mat2.Rows), Scalar.Red, 2);
                 //  Cv2.Rectangle(mat1, maxLocation, new Point (maxLocation.X+mat2.Cols, maxLocation.Y+mat2.Rows), Scalar.Red, 2);
                 Cv2.Rectangle(searchMat, maxLocation, new OpenCvSharp.Point(maxLocation.X + markMat.Cols, maxLocation.Y + markMat.Rows), Scalar.Red, 2);
                 Cv2.Rectangle(searchMat, maxLocation, new OpenCvSharp.Point(maxLocation.X + markMat.Cols, maxLocation.Y + markMat.Rows), Scalar.Red, 2);
-
-                Cv2.ImShow("mat1", searchMat);
-
-                //Console.WriteLine(minValue);
-                //Console.WriteLine(maxValue);
-                Console.WriteLine(minLocation + "=" + minVal);
+                
                 Console.WriteLine(maxLocation + "=" + maxVal);
                 Console.WriteLine(maxLocation + "=" + maxVal);
 
 
-                if (maxVal * 100 > 20)
+                if (maxVal * 100 > SamePercent)
                 {
                 {
                     //大于相似度，开始平移图像
                     //大于相似度，开始平移图像
                     var searchBounds = SearchPath.GetBounds();
                     var searchBounds = SearchPath.GetBounds();
@@ -144,6 +143,7 @@ namespace AOI
 
 
         public Image FixImage(Image standardImage, Image imageToCheck)
         public Image FixImage(Image standardImage, Image imageToCheck)
         {
         {
+            
             //Fix(standardImage, imageToCheck);
             //Fix(standardImage, imageToCheck);
             var affine = Fix(standardImage, imageToCheck);
             var affine = Fix(standardImage, imageToCheck);
             if (affine != null)
             if (affine != null)

AOI/match/AoiTemplateMethod.cs

+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Drawing.Drawing2D;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using OpenCvSharp;
+using OpenCvSharp.Blob;
+using OpenCvSharp.XFeatures2D;
+
+namespace AOI
+{
+    /// <summary>
+    /// 模板匹配
+    /// </summary>
+    public class AoiTemplateMethod : AoiMethod
+    {
+        /// <summary>
+        /// 相似度百分比
+        /// </summary>
+        public double SamePercent = 50;
+
+        public override ResultBean Check(Image standardImage, Image imageToCheck)
+        {
+            ResultBean resultBean = new ResultBean();
+            bool needCut = true;
+            Image standardRoiImg = GetRoiImage(standardImage, needCut);
+            resultBean.standardRoiImage = standardRoiImg;
+            double percent = GetTemplateMatchPercent(standardImage, imageToCheck, out Image cutImg);
+            bool result = false;
+            if(SamePercent > 100)
+            {
+                SamePercent = 100;
+            }
+
+            if(percent >= SamePercent)
+            {
+                result = true;
+            }
+            resultBean.currentRoiImage = cutImg;
+            resultBean.result = result;
+            return resultBean;
+        }
+
+        /// <summary>
+        /// 获取模板相似度
+        /// </summary>
+        /// <param name="standardImage"></param>
+        /// <param name="imageToCheck"></param>
+        /// <param name="cutImg"></param>
+        /// <returns></returns>
+        public double GetTemplateMatchPercent(Image standardImage, Image imageToCheck, out Image cutImg)
+        {
+            bool needCut = true;
+            //标准图中的Mart区域
+            Image templateImage = GetRoiImage(standardImage, RoiPath, needCut);
+            //搜索区域
+            Image searchImage = GetRoiImage(imageToCheck, RoiPath, needCut);
+            cutImg = searchImage;
+            //searchImage = imageToCheck;
+            if (templateImage != null && searchImage != null)
+            {
+                Mat searchMat = ImageUtil.ToMat(new Bitmap(searchImage));
+                Mat templateMat = ImageUtil.ToMat(new Bitmap(templateImage));
+
+                Mat result = new Mat(searchMat.Cols - templateMat.Cols + 1, searchMat.Rows - templateMat.Cols + 1, MatType.CV_32FC1);
+
+                //进行匹配(1母图,2模版子图,3返回的result，4匹配模式_这里的算法比opencv少，具体可以看opencv的相关资料说明)
+                Cv2.MatchTemplate(searchMat, templateMat, result, TemplateMatchModes.CCoeffNormed);
+
+                //对结果进行归一化(这里我测试的时候没有发现有什么用,但在opencv的书里有这个操作，应该有什么神秘加成，这里也加上)
+                //Cv2.Normalize(result, result, 1, 0, NormTypes.MinMax, -1);
+                /// 通过函数 minMaxLoc 定位最匹配的位置
+                /// (这个方法在opencv里有5个参数，这里我写的时候发现在有3个重载，看了下可以直接写成拿到起始坐标就不取最大值和最小值了)
+                /// minLocation和maxLocation根据匹配调用的模式取不同的点
+                Cv2.MinMaxLoc(result, out double minVal, out double maxVal, out OpenCvSharp.Point minLocation, out OpenCvSharp.Point maxLocation);
+                return maxVal * 100;
+            }
+            return 0;
+        }
+    }
+}