OpenCV-Laplacian和Sobel滤波器的实现

Posted 2021-02-23

OpenCV Laplacian and Sobel Filters Implementation

#pragma region Laplacian Sobel Filters
 
 
Mat LaplacianFilter(Mat img, int level){
 
	namedWindow("Original image", CV_WINDOW_AUTOSIZE);
	imshow("Original image", img);
 
	Mat gray,draw,draw2;
 
	cvtColor(img, gray, CV_RGB2GRAY);
 
	/// Apply Laplace function
	Laplacian(gray, draw, CV_16S, 3, 1, 0, BORDER_DEFAULT);
	convertScaleAbs(draw, draw2);
 
	imwrite("../../result.jpg", draw2);
	namedWindow("Result image", CV_WINDOW_AUTOSIZE);
	imshow("Result image", draw2);
	waitKey(0);
 
	destroyWindow("Result image");
	destroyWindow("Original image");
 
	return draw;
}
 
Mat SobelFilter(Mat img, int level){
 
	namedWindow("Original image", CV_WINDOW_AUTOSIZE);
	imshow("Original image", img);
 
	Mat grey;
	cvtColor(img, grey, CV_BGR2GRAY);
 
	Mat sobelx;
	Sobel(grey, sobelx, CV_32F, 1, 0);
 
	double minVal, maxVal;
	minMaxLoc(sobelx, &minVal, &maxVal); //find minimum and maximum intensities
	cout << "minVal : " << minVal << endl << "maxVal : " << maxVal << endl;
 
	Mat draw;
	sobelx.convertTo(draw, CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));
 
	imwrite("../../result.jpg", draw);
	namedWindow("Result image", CV_WINDOW_AUTOSIZE);
	imshow("Result image", draw);
	waitKey(0);
 
	destroyWindow("Result image");
	destroyWindow("Original image");
 
	return draw;
}
 
#pragma endregion