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eyemLib-Sharp/EyemLib.cs

@@ -719,7 +719,7 @@ namespace eyemLib_Sharp
         private static extern int eyemCountObjectE(EyemImage tpImage, string fileName, ref string pNumObj, out EyemImage tpDstImg);
         //异型器件(新版本)
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
-        private static extern int eyemCountObjectIrregularPartsE(EyemImage tpImage, string fileName, string ccTplName, double dMinScore, ref string pNumObj, out EyemImage tpDstImg);
+        private static extern int eyemCountObjectIrregularPartsE(EyemImage tpImage, string fileName, string ccTplName, ref string pNumObj, out EyemImage tpDstImg);
         //创建模板匹配模型
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         private static extern int eyemCreateTemplateModel(EyemImage tpImage, EyemRect tpRoi, double dMinScore, string ccTplName);
@@ -910,40 +910,53 @@ namespace eyemLib_Sharp
             //eyemEdgesPixel(ucpImage, 15);
             #endregion
 
+
             EyemRect tpRoi = new EyemRect();
-            tpRoi.iXs = 1026; tpRoi.iYs = 513;
-            tpRoi.iWidth = 82;
-            tpRoi.iHeight = 60;
+            tpRoi.iXs = 200; tpRoi.iYs = 200;
+            tpRoi.iWidth = image.iWidth - 400;
+            tpRoi.iHeight = image.iHeight - 400;
 
-            //EyemRect tpRoi = new EyemRect();
-            //tpRoi.iXs = 200; tpRoi.iYs = 200;
-            //tpRoi.iWidth = image.iWidth - 400;
-            //tpRoi.iHeight = image.iHeight - 400;
+            //
+            string pNumObj = "";
+            string file = fileName.Split(new string[] { "\\" }, StringSplitOptions.RemoveEmptyEntries)[2];
+
+            //获取用于制作模板的图像
+            flag = eyemAchvTemplateImage(image, tpRoi, out tpDstImg);
+
+            //Bitmap bmp = eyemCvtToBitmap(tpDstImg);
+
+            //if (bmp != null)
+            //{
+            //    bmp.Save("D:\\模板文件原图\\" + file);
+            //}
 
             //创建模板匹配模型
-            double dMinScore = 0.75;
-            flag = eyemCreateTemplateModel(image, tpRoi, dMinScore, "D://模板文件//template.tpl");
+            EyemRect tpRoi2 = new EyemRect();
+            tpRoi2.iXs = 1112; tpRoi2.iYs = 414;
+            tpRoi2.iWidth = 68;
+            tpRoi2.iHeight = 79;
+
+            //double matchDeg = 0.75;
+            //flag = eyemCreateTemplateModel(tpDstImg, tpRoi2, matchDeg, "D://模板文件//" + file.Replace(".png", ".tpl"));
 
             string selectModel = "";
-            flag = eyemMatchTemplateModel(image, "D:\\模板文件", ref selectModel);
+            flag = eyemMatchTemplateModel(tpDstImg, "D:\\模板文件", ref selectModel);
 
-            //flag = eyemAchvTemplateImage(image, tpRoi, out tpDstImg);
+            //最好释放掉
+            eyemImageFree(ref tpDstImg);
 
-            //
-            string pNumObj = "";
-            string file = fileName.Split(new string[] { "\\" }, StringSplitOptions.RemoveEmptyEntries)[2];
             //"IP_SMALL_PARTS","IP_LARGE_PARTS","IP_LONG_PARTS",""
             //eyemCountObject(image, file.Replace(".png", ""), 35, 0, 100, 5, ref pNumObj, out tpDstImg);
             //eyemCountObjectIrregularParts(image, file.Replace(".png", ""), 0.1, "IP_LARGE_PARTS", 100, 7, ref pNumObj, out tpDstImg);
             //eyemCountObjectE(image, fileName, ref pNumObj, out tpDstImg);
-            //eyemCountObjectIrregularPartsE(image, file.Replace(".png", ""), "D://批量测试图像模板文件//" + file.Replace(".png", "") + "_tpl.png", 0.75, ref pNumObj, out tpDstImg);
+            eyemCountObjectIrregularPartsE(image, file.Replace(".png", ""), selectModel, ref pNumObj, out tpDstImg);
 
-            //Bitmap bmp = eyemCvtToBitmap(tpDstImg);
+            Bitmap bitmap = eyemCvtToBitmap(tpDstImg);
 
-            //if (bmp != null)
-            //{
-            //    bmp.Save(System.Windows.Forms.Application.StartupPath + "\\ResOut\\" + file);
-            //}
+            if (bitmap != null)
+            {
+                bitmap.Save(System.Windows.Forms.Application.StartupPath + "\\ResOut\\" + file);
+            }
 
             ////<解码测试
             //int ipNum; EyemBarCode* tpResults;
@@ -1128,17 +1141,16 @@ namespace eyemLib_Sharp
             BitmapData bd = bitmap.LockBits(new Rectangle(0, 0, tpImage.iWidth, tpImage.iHeight),
                 ImageLockMode.WriteOnly, format);
 
-            int srcStep = tpImage.iWidth * tpImage.iChannels;
-            int dstStep = ((tpImage.iWidth * tpImage.iChannels) + 3) / 4 * 4;
+            try
+            {
+                int pd = ((tpImage.iWidth * tpImage.iChannels) + 3) / 4 * 4;
 
                 long bytesToCopy = tpImage.iWidth * tpImage.iChannels;
 
-            try
-            {
                 for (int y = 0; y < tpImage.iHeight; y++)
                 {
-                    long offsetSrc = (y * srcStep);
-                    long offsetDst = (y * dstStep);
+                    long offsetSrc = (y * tpImage.iWidth * tpImage.iChannels);
+                    long offsetDst = (y * pd);
 
                     Buffer.MemoryCopy((byte*)(tpImage.vpImage.ToPointer()) + offsetSrc, (byte*)(bd.Scan0.ToPointer()) + offsetDst, bytesToCopy, bytesToCopy);
                 }

eyemLib-Sharp/EyemLibDemo.cs

@@ -594,10 +594,25 @@ namespace eyemLib_Sharp
         #region 项目
         //普通器件
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
-        private static extern int eyemCountObject(EyemImage tpImage, string fileName, ref string pNumObj, out EyemImage tpDstImg);
+        private static extern int eyemCountObject(EyemImage tpImage, string fileName, double dOffset, int iMinArea, int iMaxArea, int iWinSize, ref string pNumObj, out EyemImage tpDstImg);
         //异型器件
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
-        private static extern int eyemCountObjectIrregularParts(EyemImage tpImage, string fileName, string strType, string tplName, double dMinScore, ref string pNumObj, out EyemImage tpDstImg);
+        private static extern int eyemCountObjectIrregularParts(EyemImage tpImage, string fileName, double dOffset, string strType, int iMaxArea, int iWinSize, ref string pNumObj, out EyemImage tpDstImg);
+        //普通器件(新版本)
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        private static extern int eyemCountObjectE(EyemImage tpImage, string fileName, ref string pNumObj, out EyemImage tpDstImg);
+        //异型器件(新版本)
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        private static extern int eyemCountObjectIrregularPartsE(EyemImage tpImage, string fileName, string ccTplName, ref string pNumObj, out EyemImage tpDstImg);
+        //创建模板匹配模型
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        private static extern int eyemCreateTemplateModel(EyemImage tpImage, EyemRect tpRoi, double dMinScore, string ccTplName);
+        //获取模板图像
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        private static extern int eyemAchvTemplateImage(EyemImage tpImage, EyemRect tpRoi, out EyemImage tpDstImg);
+        //选取模板
+        [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
+        private static extern int eyemMatchTemplateModel(EyemImage tpImage, string ccTplNames, ref string lpszTplName);
         //读码程序
         [DllImport("eyemLib.dll", CharSet = CharSet.None, CallingConvention = CallingConvention.Cdecl)]
         private static extern int eyemDetectAndDecode(EyemImage tpImage, EyemRect tpRoi, string fileName, string strCodeType, out DataCodeHandle hObject, out EyemBarCode* tpResults, out int ipNum, bool bUseNiBlack, int iBlockSize, int iRangeC, int iSymbolMin, int iSymbolMax, double dScaleUpAndDown = 0.5, double dToleErr = 0.5, double dMinorStep = 1.0);
@@ -665,7 +680,77 @@ namespace eyemLib_Sharp
 
         #endregion
 
+
+        //点料算法例程
+        public static void eyeyTestTemplateModelMethod(string fileName)
+        {
+            EyemImage image;
+            EyemImage tpDstImg = new EyemImage();
+
+            int flag = eyemImageRead(fileName, -1, out image);
+            if (flag != 0)
+            {
+                Console.WriteLine("读图失败！");
+                return;
+            }
+
+            //用于将黑边等不需要及影响预处理的部分去除
+            EyemRect tpRoi = new EyemRect();
+            tpRoi.iXs = 200; tpRoi.iYs = 200;
+            tpRoi.iWidth = image.iWidth - 400;
+            tpRoi.iHeight = image.iHeight - 400;
+
             //
+            string file = fileName.Split(new string[] { "\\" }, StringSplitOptions.RemoveEmptyEntries)[2];
+
+            //获取用于制作模板的图像
+            flag = eyemAchvTemplateImage(image, tpRoi, out tpDstImg);
+
+            Bitmap bmp = eyemCvtToBitmap(tpDstImg);
+
+            if (bmp != null)
+            {
+                bmp.Save("D:\\模板文件原图\\" + file);
+            }
+
+            //创建模板匹配模型
+            EyemRect tpRoi2 = new EyemRect();
+            tpRoi2.iXs = 1112; tpRoi2.iYs = 414;
+            tpRoi2.iWidth = 68;
+            tpRoi2.iHeight = 79;
+
+            //匹配分数
+            double matchDeg = 0.75;
+            flag = eyemCreateTemplateModel(tpDstImg, tpRoi2, matchDeg, "D://模板文件//" + file.Replace(".png", ".tpl"));
+
+
+            //可以选择使用自动匹配或者指定模板文件
+            string selectModel = "";
+            flag = eyemMatchTemplateModel(tpDstImg, "D:\\模板文件", ref selectModel);
+
+            //最好释放掉，点料会用到，或者重新创建一个供不同函数使用
+            eyemImageFree(ref tpDstImg);
+
+            string pNumObj = "";
+            //"IP_SMALL_PARTS","IP_LARGE_PARTS","IP_LONG_PARTS",""
+            //eyemCountObject(image, file.Replace(".png", ""), 35, 0, 100, 5, ref pNumObj, out tpDstImg);
+            //eyemCountObjectIrregularParts(image, file.Replace(".png", ""), 0.1, "IP_LARGE_PARTS", 100, 7, ref pNumObj, out tpDstImg);
+            //eyemCountObjectE(image, fileName, ref pNumObj, out tpDstImg);
+            eyemCountObjectIrregularPartsE(image, file.Replace(".png", ""), selectModel, ref pNumObj, out tpDstImg);
+
+            Bitmap bitmap = eyemCvtToBitmap(tpDstImg);
+
+            if (bitmap != null)
+            {
+                bitmap.Save(System.Windows.Forms.Application.StartupPath + "\\ResOut\\" + file);
+            }
+
+            //free image
+            eyemImageFree(ref tpDstImg);
+            eyemImageFree(ref image);
+        }
+
+        //背景变化追踪例程
         public static void eyemTestVideoCapture(string fileName)
         {
             List<EyemRect3> tpRois = new List<EyemRect3>();
@@ -735,6 +820,71 @@ namespace eyemLib_Sharp
             }
         }
 
+        #region 将EyemImage转换成Bitmap
+        public static Bitmap eyemCvtToBitmap(EyemImage tpImage)
+        {
+            if (tpImage.vpImage == IntPtr.Zero)
+                throw new ArgumentNullException("图像不存在");
+
+            if (tpImage.iDepth != 0)
+                throw new ArgumentException("图像必须是8位无符号整型");
+
+            PixelFormat format;
+
+            switch (tpImage.iChannels)
+            {
+                case 1:
+                    format = PixelFormat.Format8bppIndexed;
+                    break;
+                case 3:
+                    format = PixelFormat.Format24bppRgb;
+                    break;
+                case 4:
+                    format = PixelFormat.Format32bppArgb;
+                    break;
+                default:
+                    return null;
+            }
+
+            Bitmap bitmap = new Bitmap(tpImage.iWidth, tpImage.iHeight, format);
+
+            //对于输出灰度图像
+            if (format == PixelFormat.Format8bppIndexed)
+            {
+                ColorPalette palette = bitmap.Palette;
+                for (int i = 0; i < 256; i++)
+                {
+                    palette.Entries[i] = Color.FromArgb(i, i, i);
+                }
+                bitmap.Palette = palette;
+            }
+
+            //锁定数据区
+            BitmapData bd = bitmap.LockBits(new Rectangle(0, 0, tpImage.iWidth, tpImage.iHeight),
+                ImageLockMode.WriteOnly, format);
+
+            try
+            {
+                int pd = ((tpImage.iWidth * tpImage.iChannels) + 3) / 4 * 4;
+
+                long bytesToCopy = tpImage.iWidth * tpImage.iChannels;
+
+                for (int y = 0; y < tpImage.iHeight; y++)
+                {
+                    long offsetSrc = (y * tpImage.iWidth * tpImage.iChannels);
+                    long offsetDst = (y * pd);
+
+                    Buffer.MemoryCopy((byte*)(tpImage.vpImage.ToPointer()) + offsetSrc, (byte*)(bd.Scan0.ToPointer()) + offsetDst, bytesToCopy, bytesToCopy);
+                }
+            }
+            finally
+            {
+                bitmap.UnlockBits(bd);
+            }
+            return bitmap;
+        }
+        #endregion
+
         #region 结构体转内存指针
         public static IntPtr eyemStructArray2IntPtr<T>(T[] tpArray)
         {

eyemLib/eyemGeneric.cpp

@@ -323,6 +323,9 @@ int eyemImageReadRaw(const char *filename, int iWidth, int iHeight, int iDepth,
 	else
 		return FUNC_IMAGE_NOT_EXIST;
 
+	//关闭文件
+	fclose(fp);
+
 	return FUNC_OK;
 }
 

eyemLib/eyemLib.cpp

@@ -2,8 +2,8 @@
 
 int main()
 {
-	//char* filename = "D:\\Matlabͼ\\circle_plate_04.png";
-	//cv::Mat  src = cv::imread(filename, cv::IMREAD_GRAYSCALE);
+	char* filename = "D:\\Matlabͼ\\circle_plate_04.png";
+	cv::Mat  src = cv::imread(filename, cv::IMREAD_UNCHANGED);
 	//EyemImage tpImage;
 	//tpImage.iHeight = src.rows;
 	//tpImage.iWidth = src.cols;

eyemLib/eyemLib.h

@@ -835,7 +835,7 @@ extern "C" {
 	EXPORTS int				eyemCountObject(EyemImage tpImage, const char *fileName, double dOffset, int iMinArea, int iMaxArea, int iWinSize, LPSTR *lpszNumObj, EyemImage *tpDstImg);
 	EXPORTS int				eyemCountObjectE(EyemImage tpImage, const char *fileName, LPSTR *lpszNumObj, EyemImage *tpDstImg);
 	EXPORTS int				eyemCountObjectIrregularParts(EyemImage tpImage, const char *fileName, double dOffset, const char * ccSubType, int iMaxArea, int iWinSize, LPSTR *lpszNumObj, EyemImage *tpDstImg);
-	EXPORTS int				eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, const char *ccTplName, double dMinScore, LPSTR *lpszNumObj, EyemImage *tpDstImg);
+	EXPORTS int				eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, const char *ccTplName, LPSTR *lpszNumObj, EyemImage *tpDstImg);
 	EXPORTS int				eyemAchvTemplateImage(EyemImage tpImage, EyemRect tpRoi, EyemImage *tpDstImg);
 	EXPORTS int				eyemCreateTemplateModel(EyemImage tpImage, EyemRect tpRoi, double dMinScore, const char *ccTplName);
 	EXPORTS int				eyemMatchTemplateModel(EyemImage tpImage, const char *ccTplNames, LPSTR *lpszTplName);

eyemLib/eyemMisc.cpp

@@ -112,7 +112,7 @@ static cv::Mat getTplMat(cv::Mat &tplMat, double t, int val)
 }
 
 /** 获取旋转后的图像
-trackMat输入图像
+trackMat	输入图像
 t			输入角度
 val			填充内容
 matx		转换矩阵
@@ -144,7 +144,18 @@ static cv::Mat getTrackMat(cv::Mat &trackMat, double t, int val, float *matx)
 	return tplMatD;
 }
 
-
+/** 模板追踪匹配
+image		输入图像
+tplMat		输入模板
+t			方位角
+trackWidth	扩充宽度
+pts			矩形顶点
+val			填充像素
+bFinal		是否进行精确位置定位
+maxVal		输出最大匹配分数
+maxLoc		输出最大匹配坐标
+mask		掩膜
+*/
 static bool findTrackModel(cv::Mat& image, cv::Mat &tplMat, double t, double trackWidth, cv::Point2f *pts, int val, bool bFinal, double &maxVal, cv::Point2f &maxLoc, cv::InputArray mask = cv::noArray())
 {
 	//图像尺寸
@@ -224,6 +235,66 @@ static bool findTrackModel(cv::Mat& image, cv::Mat &tplMat, double t, double tra
 	return false;
 }
 
+/** 分割字符串
+cStrText	输入文本
+cStrDelim	输入分隔符
+vStrs		输出分割后内容
+*/
+static void split(const std::string &cStrText, const std::string &cStrDelim, std::vector<std::string> &vStrs)
+{
+	char *cpStr = new char[strlen(cStrText.c_str()) + 1];
+	strcpy(cpStr, cStrText.c_str());
+	//分割
+	char *token = NULL, *ptr = NULL;
+	token = strtok_s(cpStr, cStrDelim.c_str(), &ptr);
+	while (NULL != token)
+	{
+		vStrs.push_back(token);
+		token = strtok_s(NULL, cStrDelim.c_str(), &ptr);
+	}
+	delete[] cpStr;
+	cpStr = NULL;
+}
+
+/** 载入模板
+trackMat	输入文件名
+*/
+static void loadTrackModel(const char *fileName, cv::OutputArray tplMat, cv::Point &pt, double &dMatchDeg)
+{
+	//读取测试用
+	std::ifstream istream(fileName, std::ios::in | std::ios::binary);
+
+	std::string line;
+	while (std::getline(istream, line));
+	istream.close();
+
+	//获取文件信息
+	std::vector<std::string> hints;
+	split(line, ",", hints);
+
+	int X = std::atoi(hints[2].c_str()), Y = std::atoi(hints[3].c_str());
+
+	dMatchDeg = std::atof(hints[4].c_str()); pt = cv::Point(std::atoi(hints[0].c_str()), std::atoi(hints[1].c_str()));
+
+	//读取文件
+	FILE *fp = fopen(fileName, "rb+");
+
+	tplMat.create(Y, X, CV_8UC1, -1, true);
+
+	if (NULL != fp)
+	{
+		cv::Mat _tplMat = tplMat.getMat();
+		fread(_tplMat.data, sizeof(uint8_t), X*Y, fp);
+	}
+
+	//关闭文件
+	fclose(fp);
+}
+
+/** 获取文件夹内所有文件
+filePath	输入文件夹
+fileNames	输出文件
+*/
 static void getFiles(std::string filePath, std::vector<std::string>& fileNames)
 {
 	//文件句柄  
@@ -248,22 +319,9 @@ static void getFiles(std::string filePath, std::vector<std::string>& fileNames)
 	}
 }
 
-static void split(const std::string &cStrText, const std::string &cStrDelim, std::vector<std::string> &vStrs)
-{
-	char *cpStr = new char[strlen(cStrText.c_str()) + 1];
-	strcpy(cpStr, cStrText.c_str());
-	//分割
-	char *token = NULL, *ptr = NULL;
-	token = strtok_s(cpStr, cStrDelim.c_str(), &ptr);
-	while (NULL != token)
-	{
-		vStrs.push_back(token);
-		token = strtok_s(NULL, cStrDelim.c_str(), &ptr);
-	}
-	delete[] cpStr;
-	cpStr = NULL;
-}
-
+/** 计算Otsu阈值
+hist		输入直方图
+*/
 static int Otsu(int hist[])
 {
 	// Otsu's threshold algorithm
@@ -315,6 +373,9 @@ static int Otsu(int hist[])
 	return kStar;
 }
 
+/** 计算Otsu阈值
+_src		输入图像
+*/
 static double getThreshVal_Otsu_8u(const cv::Mat& _src)
 {
 	cv::Size size = _src.size();
@@ -391,6 +452,11 @@ static double getThreshVal_Otsu_8u(const cv::Mat& _src)
 	return max_val;
 }
 
+/** 计算元件尺寸
+srcPrev		输入图像
+mask		输入掩膜
+partSize	输出元件尺寸
+*/
 static bool checkSize(cv::Mat &srcPrev, cv::Mat &mask, int &partSize)
 {
 	int X = srcPrev.cols, Y = srcPrev.rows;
@@ -3986,9 +4052,11 @@ int	eyemCountObjectE(EyemImage tpImage, const char *fileName, LPSTR *lpszNumObj,
 	return FUNC_OK;
 }
 
-int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, const char *tplName, double dMinScore, LPSTR *lpszNumObj, EyemImage *tpDstImg)
+int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, const char *tplName, LPSTR *lpszNumObj, EyemImage *tpDstImg)
 {
 	cv::Mat src = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage);
+
+	//判断文件是否存在
 	if (src.empty()) {
 		return FUNC_IMAGE_NOT_EXIST;
 	}
@@ -4005,7 +4073,8 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, cons
 	int X = src.cols, Y = src.rows;
 
 	//加载模板
-	cv::Mat tplMat = cv::imread(tplName, -1);
+	cv::Mat tplMat;	double matchDeg = 0.0;
+	loadTrackModel(tplName, tplMat, cv::Point(), matchDeg);
 
 	//模板文件不存在
 	if (tplMat.empty())
@@ -4071,8 +4140,6 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, cons
 	cv::Mat binary, srcPrev;
 	cv::bitwise_not(src8U, srcPrev);
 
-	//创建模板图像
-
 	//计数图像
 	cv::Mat lbMat(Y, X, CV_8UC1, cv::Scalar(0));
 
@@ -4170,7 +4237,7 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, cons
 			cv::matchTemplate(srcPrev(cv::Rect(tl, br)), getTplMat(tplMat, t, (255 - backThresh)), tplResult0, cv::TM_CCOEFF_NORMED);
 
 			//分数大于一定分数才当作元件处理
-			tplResult0 = cv::Mat(tplResult0 > dMinScore);
+			tplResult0 = cv::Mat(tplResult0 > matchDeg);
 
 			cv::Point quard[4]{ cv::Point(tplResult0.cols,0),cv::Point(0,0),cv::Point(0,tplResult0.rows),cv::Point(tplResult0.cols,tplResult0.rows) };
 
@@ -4273,14 +4340,14 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, const char *fileName, cons
 			findTrackModel(srcPrev, tplMat, 90.0 - (t + 180.0), trackWidth, pts, (255 - backThresh), false, maxyyu, trackCentert, cv::noArray());
 
 			//匹配阈值
-			if (maxyyu > dMinScore)
+			if (maxyyu > matchDeg)
 			{
 				track4ChordL.push_back(Track(0, 0, maxyyu, (cv::Point)trackCentert, std::vector<cv::Point2f>()));
 
 				if (!expect)
 					expect = true;
 			}
-			if ((maxyyu < dMinScore) && expect)
+			if ((maxyyu < matchDeg) && expect)
 				break;
 		}
 
@@ -4809,8 +4876,12 @@ int eyemAchvTemplateImage(EyemImage tpImage, EyemRect tpRoi, EyemImage *tpDstImg
 
 int eyemCreateTemplateModel(EyemImage tpImage, EyemRect tpRoi, double dMinScore, const char *ccTplName)
 {
-	cv::Mat tplMat = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage)\
-		(cv::Rect(tpRoi.iXs, tpRoi.iYs, tpRoi.iWidth, tpRoi.iHeight)).clone();
+	cv::Mat image = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage);
+
+	if (image.empty())
+		return FUNC_IMAGE_NOT_EXIST;
+
+	cv::Mat tplMat = image(cv::Rect(tpRoi.iXs, tpRoi.iYs, tpRoi.iWidth, tpRoi.iHeight)).clone();
 
 	//模板信息
 	std::string hint = std::to_string(tpRoi.iXs) + "," + std::to_string(tpRoi.iYs) + "," \
@@ -4819,27 +4890,16 @@ int eyemCreateTemplateModel(EyemImage tpImage, EyemRect tpRoi, double dMinScore,
 	//内存尺寸(将信息添加到图像后面)
 	int _Size = tplMat.cols*tplMat.rows*tplMat.channels() * sizeof(uint8_t);
 
-	unsigned char *_Dst = new unsigned char[_Size];
-
-	//拷贝图像
-	memcpy(_Dst, tplMat.data, _Size);
-
 	//写入本地
-	std::ofstream outFile(ccTplName, std::ios::binary);
+	std::ofstream ostream(ccTplName, std::ios::binary);
+	ostream.write(reinterpret_cast<const char *>(tplMat.data), _Size);
 
-	//写入图像
-	outFile.write(reinterpret_cast<const char *>(tplMat.data), _Size);
-
-	//写入信息
-	outFile << std::endl;
-	outFile.write(hint.c_str(), hint.size());
+	//换行写入信息
+	ostream << std::endl;
+	ostream.write(hint.c_str(), hint.size());
 
 	//关闭流
-	outFile.close();
-
-	//释放资源
-	delete _Dst;
-	_Dst = NULL;
+	ostream.close();
 
 	return FUNC_OK;
 }
@@ -4852,72 +4912,79 @@ int eyemMatchTemplateModel(EyemImage tpImage, const char *ccTplNames, LPSTR *lps
 	if (image.empty())
 		return FUNC_IMAGE_NOT_EXIST;
 
-	const float icvDirections[4] = { 0 , 90 , 180 , -90 };
+	//获取文件路径
+	std::vector<std::string> fileNames;
+	getFiles(std::string(ccTplNames), fileNames);
 
 	struct Track {
 		double dMatchDeg;
-		cv::Point Pos;
+		std::string tplName;
 		cv::Mat tplMat;
 
 		Track() {};
 
-		Track(double dMatchDeg, cv::Point Pos, cv::Mat tplMat) :dMatchDeg(dMatchDeg), Pos(Pos), tplMat(tplMat) {};
-	};
+		Track(double dMatchDeg, std::string tplName, cv::Mat tplMat) :dMatchDeg(dMatchDeg), tplName(tplName), tplMat(tplMat) {};
 
-	//获取文件路径
-	std::vector<std::string> fileNames;
-	getFiles(std::string(ccTplNames), fileNames);
+		bool operator >(const Track &te)const
+		{
+			return dMatchDeg > te.dMatchDeg;
+		}
+	};
 
 	//载入所有模板
-	std::vector<Track> tckMats;
-
+	std::vector<Track> tplMats;
 	for (int i = 0; i < (int)fileNames.size(); i++)
 	{
-		cv::Mat tckMat;
-		//读取测试用
-		std::ifstream inFile(fileNames[i], std::ios::in | std::ios::binary);
+		double matchDeg;
 
-		std::string line;
-		while (std::getline(inFile, line));
-		inFile.close();
+		cv::Mat tplMat;
+		loadTrackModel(fileNames[i].c_str(), tplMat, cv::Point(), matchDeg);
 
-		//获取文件信息
-		std::vector<std::string> hints;
-		split(line, ",", hints);
+		tplMats.push_back(Track(matchDeg, fileNames[i], tplMat));
+	}
 
-		int X = std::atoi(hints[2].c_str()), Y = std::atoi(hints[3].c_str());
+	//模板文件不存在
+	if (tplMats.size() <= 0)
+		return FUNC_CANNOT_CALC;
 
-		double dMatchDeg = std::atof(hints[4].c_str()); cv::Point pt(std::atoi(hints[0].c_str()), std::atoi(hints[1].c_str()));
+	const float icvDirections[4] = { 0 , 90 , 180 , -90 };
 
-		//读取文件
-		FILE *fp = fopen(fileNames[i].c_str(), "rb+");
+	//遍历所有模板选择最佳匹配模板
+	cv::parallel_for_(cv::Range(0, (int)tplMats.size()), [&](const cv::Range& range)->void {
+		for (int tpl = range.start; tpl < range.end; tpl++)
+		{
+			double sumMatchDeg = 0.0;
+			for (int i = 0; i < 4; i++)
+			{
+				//模板匹配(仅处理料盘区域以提高速度)
+				cv::Mat tplResult;
+				cv::matchTemplate(image, getTplMat(tplMats[tpl].tplMat, icvDirections[i], 0), tplResult, cv::TM_CCOEFF_NORMED);
 
-		if (NULL != fp)
+				//分数大于一定分数才当作元件处理
+				cv::Mat tplResult0 = cv::Mat(tplResult > tplMats[tpl].dMatchDeg);
+
+				//连通域分析
+				std::vector<cv::Point> locations;
+				cv::findNonZero(tplResult0, locations);
+
+				for (int j = 0; j < (int)locations.size(); j++)
 				{
-			tckMat = cv::Mat(Y, X, CV_8UC1);
-			fread(tckMat.data, sizeof(uint8_t), X*Y, fp);
+					sumMatchDeg += tplResult.ptr<float>(locations[j].y)[locations[j].x];
 				}
-		else
-			return FUNC_IMAGE_NOT_EXIST;
-
-		tckMats.push_back(Track(dMatchDeg, pt, tckMat));
 			}
-
-	////遍历所有模板
-	//cv::parallel_for_(cv::Range(0, (int)tckMats.size()), [&](const cv::Range& range)->void {
-	//	for (int tpl = range.start; tpl < range.end; tpl++)
-	//	{
-	//		cv::Mat tplMat = tckMats[tpl].tplMat;
-	//		for (int d = 0; d < 4; d++)
-	//		{
-	//			//模板匹配
-	//			cv::matchTemplate(image, tplMat, cv::noArray(), cv::TM_CCOEFF_NORMED);
-	//		}
-	//	}
-	//});
+			tplMats[tpl].dMatchDeg = sumMatchDeg;
+		}
+	});
 
 	//计算最佳匹配模板
+	std::sort(tplMats.begin(), tplMats.end(), std::greater<Track>());
 
+	//输出结果
+	*lpszTplName = (char *)CoTaskMemAlloc(tplMats[0].tplName.size());
+	if (NULL != lpszTplName)
+	{
+		strcpy(*lpszTplName, tplMats[0].tplName.c_str());
+	}
 
 	return FUNC_OK;
 }