——检测毛刺

检测以下图像中的毛刺：

 代码：

cv::Mat Image = cv::imread("fin3.png", CV_LOAD_IMAGE_GRAYSCALE);
	imshow("src", Image);
	cv::Mat color;
	cvtColor(Image, color, ColorConversionCodes::COLOR_GRAY2BGR);

	//分割出环形区域
	cv::Mat Region,close_region;
	threshold(Image, Region, 100, 255, THRESH_BINARY);
	imshow("Region", Region);

	int elementsize = 39;
	//设定圆形算子 3*3大小的核
	cv::Mat element2 = getStructuringElement(cv::MorphShapes::MORPH_ELLIPSE, cv::Size(elementsize, elementsize));
	morphologyEx(Region, close_region, CV_MOP_CLOSE, element2, cv::Point(-1, -1), 7, cv::BORDER_CONSTANT, cv::morphologyDefaultBorderValue());
	imshow("close_region", close_region);
	cv::Mat diff = close_region - Region;
	imshow("diff", diff);

	elementsize = 3;
	element2 = getStructuringElement(cv::MorphShapes::MORPH_ELLIPSE, cv::Size(elementsize, elementsize));
	morphologyEx(diff, diff, CV_MOP_OPEN, element2, cv::Point(-1, -1), 1, cv::BORDER_CONSTANT, cv::morphologyDefaultBorderValue());
	imshow("result", diff);


	color.setTo(cv::Scalar(0,0,255), diff);
	imshow("毛刺", color);
	waitKey(0);

效果：

 

标签：elementsize,毛刺,Region,imshow,检测,close,diff,cv
来源： https://blog.csdn.net/thequitesunshine007/article/details/123605852