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eyemLib/eyemMisc.cpp

@@ -1860,7 +1860,10 @@ int eyemCountObjectIrregularParts(EyemImage tpImage, EyemRect tpRoi, const char
 		for (int n = 0; n < contourAll.size(); n++) {
 		for (int n = 0; n < contourAll.size(); n++) {
 			cv::drawContours(image, contourAll, n, cv::Scalar(255), -1);
 			cv::drawContours(image, contourAll, n, cv::Scalar(255), -1);
 		}
 		}
-
+		//防止报错
+		if (contourAll.empty()) {
+			return FUNC_CANNOT_CALC;
+		}
 		//寻找最大轮廓
 		//寻找最大轮廓
 		std::vector<cv::Point> contourMax; double contourMaxArea = 0; cv::Point2f center; float radius;
 		std::vector<cv::Point> contourMax; double contourMaxArea = 0; cv::Point2f center; float radius;
 		contourMax = contourAll[0]; contourMaxArea = cv::contourArea(contourMax);
 		contourMax = contourAll[0]; contourMaxArea = cv::contourArea(contourMax);

eyemLib/eyemSmooth.cpp

@@ -327,10 +327,18 @@ static void nonLocalMeansFilter_SSE(cv::Mat& src, cv::Mat& dest, cv::Size temple
 		dpad = (16 - src.cols % 16) % 16;
 		dpad = (16 - src.cols % 16) % 16;
 		spad = (16 - (src.cols + 2 * bbx) % 16) % 16;
 		spad = (16 - (src.cols + 2 * bbx) % 16) % 16;
 	}
 	}
+	else
+	{
+		dpad = (4 - src.cols % 4) % 4;
+		spad = (4 - (src.cols + 2 * bbx) % 4) % 4;
+	}
 	cv::Mat dst = cv::Mat::zeros(cv::Size(src.cols + dpad, src.rows), dest.type());
 	cv::Mat dst = cv::Mat::zeros(cv::Size(src.cols + dpad, src.rows), dest.type());
 
 
 	cv::Mat im;
 	cv::Mat im;
-	copyMakeBorder(src, im, bby, bby, bbx, bbx + spad, borderType);
+	if (src.channels() == 1)
+	{
+		copyMakeBorder(src, im, bby, bby, bbx, bbx + spad, borderType);
+	}
 
 
 	//weight computation;
 	//weight computation;
 	std::vector<float> weight(256 * src.channels());
 	std::vector<float> weight(256 * src.channels());
@@ -344,8 +352,12 @@ static void nonLocalMeansFilter_SSE(cv::Mat& src, cv::Mat& dest, cv::Size temple
 		w[i] = (float)v;
 		w[i] = (float)v;
 	}
 	}
 
 
-	NonlocalMeansFilterInvorker8u_SSE4 body(im, dst, templeteWindowSize.width, templeteWindowSize.height, searchWindowSize.width, searchWindowSize.height, w);
-	cv::parallel_for_(cv::Range(0, dst.rows), body);
+	if (src.depth() == CV_8U)
+	{
+		NonlocalMeansFilterInvorker8u_SSE4 body(im, dst, templeteWindowSize.width, templeteWindowSize.height, searchWindowSize.width, searchWindowSize.height, w);
+		cv::parallel_for_(cv::Range(0, dst.rows), body);
+	}
+
 	cv::Mat(dst(cv::Rect(0, 0, dest.cols, dest.rows))).copyTo(dest);
 	cv::Mat(dst(cv::Rect(0, 0, dest.cols, dest.rows))).copyTo(dest);
 }
 }
 
 
@@ -361,13 +373,25 @@ int	eyemSmoothMean(EyemImage tpImage, int kSizew, int kSizeh, EyemImage *tpDstIm
 	return FUNC_OK;
 	return FUNC_OK;
 }
 }
 
 
-int eyemNonLocalMeansFilter(EyemImage tpImage)
+int eyemNonLocalMeansFilter(EyemImage tpImage, int iCMPSize, int iSearchSize, double dH, double dSigma)
 {
 {
 	cv::Mat image = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage).clone();
 	cv::Mat image = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage).clone();
 	if (image.empty()) {
 	if (image.empty()) {
 		return FUNC_IMAGE_NOT_EXIST;
 		return FUNC_IMAGE_NOT_EXIST;
 	}
 	}
 
 
+	//std::vector<cv::Mat> mvs(3);
+	//cv::split(image, mvs);
+	//mvs[0] = cv::imread("C:\\Users\\nzslw\\OneDrive\\程序\\VSProject\\eyemLib\\x64\\Debug\\Portada_paper_b.png", cv::IMREAD_GRAYSCALE);
+	//mvs[1] = cv::imread("C:\\Users\\nzslw\\OneDrive\\程序\\VSProject\\eyemLib\\x64\\Debug\\Portada_paper_g.png", 0);
+	//mvs[2] = cv::imread("C:\\Users\\nzslw\\OneDrive\\程序\\VSProject\\eyemLib\\x64\\Debug\\Portada_paper_r.png", 0);
+
+	cv::Mat dest;
+	//cv::merge(mvs, dest);
+	nonLocalMeansFilter_SSE(image, dest, cv::Size(3, 3), cv::Size(5, 5), 21.0, -1, 0);
+
+	cv::imwrite("Portada_paper5.png", dest);
+
 	return FUNC_OK;
 	return FUNC_OK;
 }
 }