1碎节、目的
把圖片轉(zhuǎn)換為灰度圖，之后進(jìn)行2次1倍圖像尺寸縮寫 抵卫，再進(jìn)行邊沿檢測狮荔。
2胎撇、代碼
#include <opencv2/opencv.hpp>
void help(char** argv ) {
std::cout << "\n"
<< "\nExample 2-8. Combining the pyramid down operator (twice) and the Canny"
? ? << "\n? ? ? ? ? ? subroutine in a simple image pipeline"
? ? << "\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, img_pyr, img_pyr2;
? 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);//轉(zhuǎn)換為灰度圖
? cv::pyrDown( img_gry, img_pyr ); //縮寫一倍尺寸
? cv::pyrDown( img_pyr, img_pyr2 );//縮寫一倍尺寸
? cv::Canny( img_pyr2, img_cny, 10, 100, 3, true ); //邊沿檢測
? cv::imshow( "Example Gray", img_gry );
? cv::imshow( "Example Canny", img_cny );
? cv::waitKey(0);
}
3、結(jié)果
