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eyemLib-Sharp/EyemLib.cs

@@ -999,9 +999,9 @@ namespace eyemLib_Sharp
 
 
 
 
             EyemRect tpRoi = new EyemRect();
             EyemRect tpRoi = new EyemRect();
-            tpRoi.iXs = 50; tpRoi.iYs = 50;
-            tpRoi.iWidth = image.iWidth - 100;
-            tpRoi.iHeight = image.iHeight - 100;
+            tpRoi.iXs = 200; tpRoi.iYs = 200;
+            tpRoi.iWidth = image.iWidth - 400;
+            tpRoi.iHeight = image.iHeight - 400;
 
 
             //
             //
             string pNumObj = "";
             string pNumObj = "";

eyemLib/eyemLib.h

@@ -859,6 +859,7 @@ extern "C" {
 	EXPORTS int				eyemReleaseModel(IntPtr &hModelID);
 	EXPORTS int				eyemReleaseModel(IntPtr &hModelID);
 	EXPORTS int				eyemTrackFeature(EyemImage tpPrevImg, EyemImage tpNextImg, EyemRect3 *tpRois, int iRoiNum, int *ipResults, EyemImage *tpDstImg);
 	EXPORTS int				eyemTrackFeature(EyemImage tpPrevImg, EyemImage tpNextImg, EyemRect3 *tpRois, int iRoiNum, int *ipResults, EyemImage *tpDstImg);
 	EXPORTS int				eyemAOIForTSAV(EyemImage tpRefImg, EyemImage tpNextImg, EyemRect3 *tpRois, int iRoiNum);
 	EXPORTS int				eyemAOIForTSAV(EyemImage tpRefImg, EyemImage tpNextImg, EyemRect3 *tpRois, int iRoiNum);
+	EXPORTS int				eyemAllMethodTest(EyemImage tpImage);
 
 
 #ifdef __cplusplus
 #ifdef __cplusplus
 }
 }

eyemLib/eyemMisc.cpp

@@ -4332,10 +4332,61 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, const char
 	//计数图像
 	//计数图像
 	cv::Mat lbMat(Y, X, CV_8UC1, cv::Scalar(0));
 	cv::Mat lbMat(Y, X, CV_8UC1, cv::Scalar(0));
 
 
+	//测试用，根据模板尺寸顶帽处理，去掉中间料盘
+	int minPart = cv::min(tplWidth, tplHeight);
+
+	cv::Mat srcPrevWithMask(Y, X, CV_8UC1);
+
+	srcPrev.copyTo(srcPrevWithMask);
+
+	if (minPart < 12) {
+
+		cv::Mat srcPrevEx;
+		cv::morphologyEx(srcPrev, srcPrevEx, cv::MORPH_TOPHAT, cv::getStructuringElement(cv::MORPH_RECT, cv::Size(minPart, minPart)));
+
+		//
+		cv::Mat srcPrevExb;
+		cv::threshold(srcPrevEx, srcPrevExb, 0, 255, cv::THRESH_BINARY | cv::THRESH_OTSU);
+
+		//膨胀
+		cv::morphologyEx(srcPrevExb, srcPrevExb, cv::MORPH_DILATE, cv::getStructuringElement(cv::MORPH_RECT, cv::Size(minPart, minPart)));
+
+		//去掉盘本身的影响
+		srcPrevWithMask = cv::Scalar(255 - backT);
+		srcPrev.copyTo(srcPrevWithMask, srcPrevExb);
+	}
+
 	//使用大料算法（模板匹配方式）
 	//使用大料算法（模板匹配方式）
 	cv::threshold(srcPrev, binary, 0, 255, cv::THRESH_BINARY | cv::THRESH_OTSU);
 	cv::threshold(srcPrev, binary, 0, 255, cv::THRESH_BINARY | cv::THRESH_OTSU);
 
 
+	//去掉小于5个像素的干扰
+	cv::Mat labels0, stats0, centroids0;
+	int nccomps0 = cv::connectedComponentsWithStats(binary, labels0, stats0, centroids0, 4);
+	//过滤连通域面积及长/宽比例不符合的,允许50%误差
+	std::vector<uchar> colors0(nccomps0 + 1, 0);
+	for (int i = 1; i < nccomps0; i++) {
+		colors0[i] = 255;
+		if ((stats0.ptr<int>(i)[cv::CC_STAT_AREA] < 10))
+		{
+			colors0[i] = 0;
+		}
+	}
+	//过滤
+	cv::parallel_for_(cv::Range(0, Y), [&](const cv::Range& range)->void {
+		for (int y = range.start; y < range.end; y++)
+		{
+			uint8_t *ptrRow = binary.ptr<uint8_t>(y);
+			for (int x = 0; x < X; x++)
+			{
+				int label = labels0.ptr<int>(y)[x];
+				CV_Assert(0 <= label && label <= nccomps0);
+				ptrRow[x] = colors0[label];
+			}
+		}
+	});
+
 	cv::Mat srcPrevEx0;
 	cv::Mat srcPrevEx0;
+	//连接
 	cv::morphologyEx(binary, srcPrevEx0, cv::MORPH_CLOSE, cv::getStructuringElement(cv::MORPH_RECT, cv::Size(95, 95)));
 	cv::morphologyEx(binary, srcPrevEx0, cv::MORPH_CLOSE, cv::getStructuringElement(cv::MORPH_RECT, cv::Size(95, 95)));
 
 
 	//定位料盘中心
 	//定位料盘中心
@@ -4376,6 +4427,21 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, const char
 		}
 		}
 	}
 	}
 
 
+	//面积小于50000判断不是中心
+	if (contourMaxArea < 50000) {
+		cv::findContours(image, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_NONE);
+		//最大轮廓
+		for (int i = 1; i < contours.size(); i++)
+		{
+			double contourArea = cv::contourArea(contours[i]);
+			if (contourArea > contourMaxArea)
+			{
+				contourMax = contours[i];
+				contourMaxArea = contourArea;
+			}
+		}
+	}
+
 	//质心
 	//质心
 	cv::Moments mu = cv::moments(contourMax);
 	cv::Moments mu = cv::moments(contourMax);
 	cv::Point2f reelCenter(float(mu.m10 / mu.m00), float(mu.m01 / mu.m00));
 	cv::Point2f reelCenter(float(mu.m10 / mu.m00), float(mu.m01 / mu.m00));
@@ -4399,6 +4465,9 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, const char
 		}
 		}
 	}
 	}
 
 
+	//去掉料盘中心
+	cv::circle(srcPrevWithMask, cv::Point(reelCenter), 150, cv::Scalar(255 - backT), -1);
+
 	cv::Rect rec = cv::boundingRect(contourMax);
 	cv::Rect rec = cv::boundingRect(contourMax);
 
 
 	//顶点坐标
 	//顶点坐标
@@ -4421,7 +4490,7 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, const char
 		{
 		{
 			//模板匹配(仅处理料盘区域以提高速度)
 			//模板匹配(仅处理料盘区域以提高速度)
 			cv::Mat tplResult0;
 			cv::Mat tplResult0;
-			cv::matchTemplate(srcPrev(cv::Rect(tl, br)), getTplMat(tplMat, icvDirections[tpl], (255 - backT)), tplResult0, cv::TM_CCOEFF_NORMED);
+			cv::matchTemplate(srcPrevWithMask(cv::Rect(tl, br)), getTplMat(tplMat, icvDirections[tpl], (255 - backT)), tplResult0, cv::TM_CCOEFF_NORMED);
 
 
 			//分数大于一定分数才当作元件处理
 			//分数大于一定分数才当作元件处理
 			tplResult0 = cv::Mat(tplResult0 > matchDeg);
 			tplResult0 = cv::Mat(tplResult0 > matchDeg);
@@ -4454,10 +4523,10 @@ int	eyemCountObjectIrregularPartsE(EyemImage tpImage, EyemRect tpRoi, const char
 
 
 	//旋转图像,计算另外四个方向的起点
 	//旋转图像,计算另外四个方向的起点
 	float matx[6];
 	float matx[6];
-	cv::Mat srcPrev45 = getTrackMat(srcPrev(cv::Rect(tl, br)), 45.0, 0, matx);
+	cv::Mat srcPrev45 = getTrackMat(srcPrevWithMask(cv::Rect(tl, br)), 45.0, 0, matx);
 
 
-	cv::Mat showMat2;
-	cv::cvtColor(srcPrev(cv::Rect(tl, br)), showMat2, cv::COLOR_GRAY2BGRA);
+	/*cv::Mat showMat2;
+	cv::cvtColor(srcPrev(cv::Rect(tl, br)), showMat2, cv::COLOR_GRAY2BGRA);*/
 
 
 	cv::parallel_for_(cv::Range(0, 4), [&](const cv::Range& range)->void {
 	cv::parallel_for_(cv::Range(0, 4), [&](const cv::Range& range)->void {
 		for (int tpl = range.start; tpl < range.end; tpl++)
 		for (int tpl = range.start; tpl < range.end; tpl++)
@@ -5800,4 +5869,15 @@ int eyemAOIForTSAV(EyemImage tpRefImg, EyemImage tpNextImg, EyemRect3 *tpRois, i
 	cv::waitKey(1);
 	cv::waitKey(1);
 
 
 	return FUNC_OK;
 	return FUNC_OK;
+}
+
+int eyemAllMethodTest(EyemImage tpImage)
+{
+	cv::Mat image = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage).clone();
+
+	if (image.empty())
+		return FUNC_IMAGE_NOT_EXIST;
+
+
+	return FUNC_OK;
 }
 }
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