canny算子实现
使用track bar 调整canny算子参数，提取到合适的图像边缘。
#include<iostream>#include<opencv2/opencv.hpp>using namespace cv;void trackBar(int, void*);int s1=0,s2=0;Mat src, dst;int main(){ src = imread("E:/image/image/daibola.jpg"); if(src.empty()) { printf("can not load image \n"); return -1; } cvNamedWindow("input", CV_WINDOW_AUTOSIZE); imshow("input", src); dst = src.clone(); cvNamedWindow("output", CV_WINDOW_AUTOSIZE); createTrackbar("canny1", "output", &s1, 255, trackBar); createTrackbar("canny2", "output", &s2, 255, trackBar); GaussianBlur(src,src,Size(3,3),0); waitKey(); return 0;}void trackBar(int, void*){ Canny(src,dst,s1,s2,3); imshow("output", dst);}
Sobel算子实现
#include<iostream>#include<opencv2/opencv.hpp>using namespace cv;int main(){ Mat src, dst; src = imread("E:/image/image/daibola.jpg"); if(src.empty()) { printf("can not load image \n"); return -1; } dst = Mat::zeros(src.size(), src.type()); cvNamedWindow("input", CV_WINDOW_AUTOSIZE); imshow("input", src); Mat kernel = (Mat_<int>(2,2)<<0,1,-1,0); filter2D(src,dst,-1,kernel,Point(-1,-1),0.0); Mat xgrad, ygrad; Sobel(src,xgrad,CV_16S,1,0,3); Sobel(src,ygrad,CV_16S,0,1,3); convertScaleAbs(xgrad,xgrad); convertScaleAbs(ygrad,ygrad); addWeighted(xgrad,0.5,ygrad,0.5,0,dst); //addWeighted(dst,0.5,src,1,0,dst); cvNamedWindow("output", CV_WINDOW_AUTOSIZE); imshow("output", dst); waitKey(); return 0;}
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本文标题: opencv3/C++图像边缘提取方式
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