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eyemLib-Sharp/EyemLib.cs

@@ -905,7 +905,7 @@ namespace eyemLib_Sharp
             string file = fileName.Split(new string[] { "\\" }, StringSplitOptions.RemoveEmptyEntries)[2];
             //"IP_SMALL_PARTS","IP_LARGE_PARTS","IP_LONG_PARTS",""
             //eyemCountObject(ucpImage, file.Replace(".png", ""), 35, 0, 100, 5, ref pNumObj, out tpDstImg);
-            eyemCountObjectIrregularParts(image, file.Replace(".png", ""), "IP_LARGE_PARTS", "", 0.7, ref pNumObj, out tpDstImg);
+            eyemCountObjectIrregularParts(image, file.Replace(".png", ""), "IP_LARGE_PARTS", "D://批量测试图像//template.png", 0.7, ref pNumObj, out tpDstImg);
             //int ipNum; EyemBarCode* tpResults;
             //DataCodeHandle hObject;
             //int iRes = eyemDetectAndDecode(image, tpRoi, file.Replace(".png", ""), "QR_CODE|DATA_MATRIX|CODE_39|CODE_128", out hObject, out tpResults, out ipNum, false, 11, 5, 128, 256, 1d);
@@ -934,12 +934,13 @@ namespace eyemLib_Sharp
             EyemRect3 roi4 = new EyemRect3();
             roi4.iXs = 303; roi4.iYs = 400; roi4.iWidth = 100; roi4.iHeight = 100; roi4.dVar = 0.35;
 
-            //需要监控的位置
+            //需要监控的位置信息
             tpRois.Add(roi1); tpRois.Add(roi2); tpRois.Add(roi3); tpRois.Add(roi4);
 
-            //转内存指针
+            //结构体转内存指针
             IntPtr hGlobal = eyemStructArray2IntPtr(tpRois.ToArray());
 
+            //读取视频接口
             int ipNum; EyemImage* tpImages;
             VideoHandle hObject;
             eyemVideoCapture(fileName, out hObject, out tpImages, out ipNum);
@@ -950,6 +951,7 @@ namespace eyemLib_Sharp
             //类似于实时采集的图像
             for (int i = 1; i < ipNum; i++)
             {
+                //存放结果
                 int[] iArrRes = new int[tpRois.Count];
                 //fixed (int* ipResults = &iArrRes[0])
                 //{

eyemLib-Sharp/eyemLib-Sharp.csproj

@@ -49,6 +49,7 @@
   </ItemGroup>
   <ItemGroup>
     <Compile Include="EyemLib.cs" />
+    <Compile Include="EyemLibDemo.cs" />
     <Compile Include="Program.cs" />
     <Compile Include="Properties\AssemblyInfo.cs" />
   </ItemGroup>

eyemLib/eyemMisc.cpp

@@ -1444,27 +1444,28 @@ int eyemCountObjectIrregularParts(EyemImage tpImage, const char *fileName, const
 	//使用大料算法
 	else if (strcmp(ccSubType, "IP_LARGE_PARTS") == 0)
 	{
-		//cv::imwrite("tplResult.png", srcPrev);
-
 		int tplWidth, tplHeight, tplDstWidth, tplDstHeight;
 
-		//用八个方向的模板进行模板匹配
-		cv::Mat tplResult(Y, X, CV_32F, cv::Scalar(0));
-		//std::vector<cv::Mat> tplResults;
-
-		const float icvDirections[9] = { -180,-135,-90 ,-45,0,45 ,90,135,180 };
-
-		for (int tpl = 0; tpl < 8; tpl++)
-		{
+		//加载模板
 		cv::Mat tplMat = cv::imread("D://批量测试图像//template.png", -1);
 
 		tplWidth = tplMat.cols, tplHeight = tplMat.rows;
 
+		//用八个方向的模板进行模板匹配(模板匹配的方式对于发生形变的器件效果不好)
+		const float icvDirections[4] = { -180,-90 ,0 ,90 };
+
+		//用以计算元件中心
+		const int icvDirectionDeltas[4][2] = { { tplWidth / 2,tplHeight / 2},{ tplHeight / 2,tplWidth / 2 },{ tplWidth / 2,tplHeight / 2 },{ tplHeight / 2,tplWidth / 2 } };
+
+		cv::Mat sinParts(Y, X, CV_8UC1, cv::Scalar(0));
+
+		for (int tpl = 0; tpl < 4; tpl++)
+		{
 			float t = icvDirections[tpl];
 
-			tplDstWidth = tplHeight * abs(sin(t * CV_PI / 180)) + tplWidth * abs(cos(t * CV_PI / 180));
+			tplDstWidth = cvRound((double)tplHeight * abs(sin(t * CV_PI / 180)) + (double)tplWidth * abs(cos(t * CV_PI / 180)));
 
-			tplDstHeight = ceil(tplWidth * abs(sin(t * CV_PI / 180)) + tplHeight * abs(cos(t * CV_PI / 180)));
+			tplDstHeight = cvRound(ceil((double)tplWidth * abs(sin(t * CV_PI / 180)) + (double)tplHeight * abs(cos(t * CV_PI / 180))));
 
 			cv::Mat matx23f(2, 3, CV_64F);
 			matx23f = cv::getRotationMatrix2D(cv::Point2f((float)tplWidth / 2.0f - 0.5f, (float)tplHeight / 2.0f - 0.5f), t, 1.0);
@@ -1474,42 +1475,32 @@ int eyemCountObjectIrregularParts(EyemImage tpImage, const char *fileName, const
 			matx23f.ptr<double>(1)[2] += (float)(tplDstHeight - tplHeight) / 2.0;
 
 			//旋转
-			cv::warpAffine(tplMat, tplMat, matx23f, cv::Size((int)tplDstWidth, (int)tplDstHeight), cv::INTER_CUBIC);
+			cv::Mat tplMatD;
+			cv::warpAffine(tplMat, tplMatD, matx23f, cv::Size((int)tplDstWidth, (int)tplDstHeight), cv::INTER_LINEAR, cv::BORDER_CONSTANT, cv::Scalar(0));
 
 			//模板匹配
 			cv::Mat tplResult0;
-			cv::matchTemplate(srcPrev, tplMat, tplResult0, cv::TM_CCOEFF_NORMED);
-
-			//为什么尺寸会发生比那花
-
-			//各个方向图取最大值
-			cv::max(tplResult0, tplResult, tplResult);
+			cv::matchTemplate(srcPrev, tplMatD, tplResult0, cv::TM_CCOEFF_NORMED);
 
+			//为什么尺寸会发生变化
+			int bottom, right;
+			bottom = (Y - tplResult0.rows), right = (X - tplResult0.cols);
+			cv::copyMakeBorder(tplResult0, tplResult0, 0, bottom, 0, right, cv::BORDER_CONSTANT, cv::Scalar(0));
 
-
-			//tplResults.push_back(tplResult);
+			//分数大于0.7才当作元件处理
+			cv::add(cv::Mat(tplResult0 > dMinScore) / 255, sinParts, sinParts);
 		}
-
-
-		////分数大于0.7才当作元件处理
-		//cv::Mat bin;
-		//bin = tplResult > dMinScore;
-
-		//std::vector<cv::Point> pts;
-
+		////
+		//sinParts += bin;
+		////连通域分析
 		//cv::Mat labels, stats, centroids;
 		//int nccomps2 = cv::connectedComponentsWithStats(bin, labels, stats, centroids);
 
 		//for (int i = 1; i < nccomps2; i++) {
-		//	pts.push_back(cv::Point(cvRound(centroids.ptr<double>(i)[1]), cvRound(centroids.ptr<double>(i)[0])));
+		//	cv::drawMarker(cc, cv::Point(cvRound(centroids.ptr<double>(i)[0]) + icvDirectionDeltas[tpl][0], cvRound(centroids.ptr<double>(i)[1]) + icvDirectionDeltas[tpl][1]), cv::Scalar(0, 255, 0, 255));
 		//}
 
-		//for (int t = 0; t < (int)pts.size(); t++)
-		//{
-		//	cv::rectangle(cc, cv::Rect(pts[t].y, pts[t].x, templ.cols, templ.rows), cv::Scalar(0, 255, 0, 255), 1);
-		//}
-
-		//cv::imwrite("tplResult.png", cc);
+		cv::imwrite("tplResult.png", cc);
 
 		//二值化
 		cv::threshold(srcPrev, binary, 0, 255, cv::THRESH_BINARY | cv::THRESH_OTSU);
@@ -2878,6 +2869,9 @@ int eyemTrackFeature(EyemImage tpRefImg, EyemImage tpNextImg, EyemRect3 *tpRois,
 	cv::Mat nextImg(tpNextImg.iHeight, tpNextImg.iWidth,
 		MAKETYPE(tpNextImg.iDepth, tpNextImg.iChannels), tpNextImg.vpImage);
 
+	if (refImg.empty() | nextImg.empty())
+		return FUNC_IMAGE_NOT_EXIST;
+
 	cv::cvtColor(refImg, refImg, cv::COLOR_BGR2GRAY);
 
 	cv::cvtColor(nextImg, nextImg, cv::COLOR_BGR2GRAY);