Sobel算子

#include <opencv2/opencv.hpp> #include <iostream> #include <math.h>  using namespace cv; int main(int argc, char** argv) {     Mat src, dst;     int ksize = 0;      src = imread("L:/5.jpg");     if (!src.data) {         printf("could not load image...\n");         return -1;     }      char INPUT_WIN[] = "input image";     char OUTPUT_WIN[] = "sobel-demo";     namedWindow(INPUT_WIN, CV_WINDOW_AUTOSIZE);     namedWindow(OUTPUT_WIN, CV_WINDOW_AUTOSIZE);     imshow(INPUT_WIN, src);     GaussianBlur(src, dst, Size(3, 3), 0, 0);  //高斯平滑，高斯滤波     Mat gray_src;     cvtColor(dst, gray_src,CV_BGR2GRAY);     imshow("gray image", gray_src);          Mat xgrad, ygrad;     Sobel(gray_src, xgrad, CV_16S, 1, 0, 3);  //X轴方向梯度     Sobel(gray_src, ygrad, CV_16S, 0, 1, 3); //Y轴方向梯度      convertScaleAbs(xgrad, xgrad);          //X梯度取绝对值     convertScaleAbs(ygrad, ygrad);          //Y梯度取绝对值     imshow("xgrad", xgrad);     imshow("ygrad", ygrad);      Mat xygrad;     addWeighted(xgrad, 0.5, ygrad, 0.5, 0, xygrad);  //X、Y梯度各占权重0.5     imshow("Final Result",xygrad);      waitKey(0);     return 0; }

Y轴方向梯度：

来源：博客园

作者：跟上帝和宇宙玩掷骰子

链接：https://www.cnblogs.com/Jack-Elvis/p/11444617.html