图像边缘检测：Sobel、拉普拉斯算子

///** // * @file Sobel & Laplace Demo // * @brief Sample code using Sobel and/orScharr and Laplace OpenCV functions to make a simple Edge Detector // * @author Wei Lan // */ // #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include <stdlib.h> #include <stdio.h> using namespace cv; int main( ) { Mat src, src_gray; Mat grad; char* window_name1 = "Sobel Demo"; char* window_name2 = "Laplace Demo "; int scale = 1; int delta = 0; int ddepth = CV_16S; int kernel_size = 3; /// Load an image src = imread("images\\happycat.png"); if( !src.data ) { return -1; } GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT ); cvtColor( src, src_gray, CV_RGB2GRAY ); /////////////////////////// Sobe l//////////////////////////////////// /// Generate grad_x and grad_y Mat grad_x, grad_y; Mat abs_grad_x, abs_grad_y; /// Gradient X //Scharr( src_gray, grad_x, ddepth, 1, 0, scale, delta, BORDER_DEFAULT ); //Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator. Sobel( src_gray, grad_x, ddepth, 1, 0, 3, scale, delta, BORDER_DEFAULT ); convertScaleAbs( grad_x, abs_grad_x ); /// Gradient Y //Scharr( src_gray, grad_y, ddepth, 0, 1, scale, delta, BORDER_DEFAULT ); Sobel( src_gray, grad_y, ddepth, 0, 1, 3, scale, delta, BORDER_DEFAULT ); convertScaleAbs( grad_y, abs_grad_y ); /// Total Gradient (approximate) addWeighted( abs_grad_x, 0.5, abs_grad_y, 0.5, 0, grad ); namedWindow( window_name1, CV_WINDOW_AUTOSIZE ); imshow( window_name1, grad ); imwrite("Sobel.png",grad); /////////////////////////////////// Laplace /////////////////////////////// Mat abs_dst,dst; Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, BORDER_DEFAULT ); convertScaleAbs( dst, abs_dst ); namedWindow( window_name2, CV_WINDOW_AUTOSIZE ); imshow( window_name2, abs_dst ); imwrite("Laplace.png",grad); waitKey(0); return 0; }