1、目的
图像转换为灰度图，并执行边沿检测。
2、代码
#include <opencv2/opencv.hpp>
void help(char** argv ) {
std::cout << "\n"
<< "\nExample 2-7. The Canny edge detector writes its output to a single-channel (grayscale) image"
<< "\nCall:\n"
<< argv[0] <<" <path/image>\n"
<< "For example:\n"
<< argv[0] << " ../fruits.jpg\n"
<< std::endl;
}
int main( int argc, char** argv ) {
if (argc != 2) {
help(argv);
return 0;
}
cv::Mat img_rgb, img_gry, img_cny;
cv::namedWindow( "Example Gray", cv::WINDOW_AUTOSIZE );
cv::namedWindow( "Example Canny", cv::WINDOW_AUTOSIZE );
img_rgb = cv::imread( argv[1] );
cv::cvtColor( img_rgb, img_gry, cv::COLOR_BGR2GRAY); //RGB转化为灰度图
cv::imshow( "Example Gray", img_gry );
cv::Canny( img_gry, img_cny, 10, 100, 3, true ); //对图像img_gry进行边沿检测
cv::imshow( "Example Canny", img_cny );
cv::waitKey(0);
}
3、结果
