opencv3/C++图像边缘提取方式

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;

}

以上这篇opencv3/C++图像边缘提取方式就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。

以上是 opencv3/C++图像边缘提取方式 的全部内容, 来源链接: utcz.com/p/244649.html

回到顶部