标签:opencv 拉普拉斯算子 log 拉普拉斯锐化 边缘检测
收入囊中
|
This is done when ksize > 1 . When ksize == 1 , the Laplacian is computed by filtering the image with the following aperture:
#include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" using namespace cv; int main( int, char** argv ) { Mat src, src_gray; int kernel_size = 3; const char* window_name = "Laplace Demo"; src = imread( argv[1] ); GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT ); cvtColor( src, src_gray, CV_RGB2GRAY ); namedWindow( window_name, CV_WINDOW_AUTOSIZE ); Mat dst, abs_dst; Laplacian( src_gray, dst, CV_16S, kernel_size); convertScaleAbs( dst, abs_dst ); imshow( window_name, abs_dst ); waitKey(0); return 0; }
1 | 1 | 1 |
1 | -8 | 1 |
1 | 1 | 1 |
#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" using namespace cv; int main( int, char** argv ) { Mat src,gray,Kernel; src = imread( argv[1] ); GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT ); cvtColor( src, gray, CV_RGB2GRAY ); namedWindow("dstImage", 1); Kernel = (Mat_<double>(3,3) << 1, 1, 1, 1, -8, 1, 1, 1, 1); Mat grad,abs_grad; filter2D(gray, grad, CV_16S , Kernel, Point(-1,-1)); convertScaleAbs( grad, abs_grad ); imshow("dstImage", abs_grad); waitKey(); return 0; }效果图就不发了,跟上面差不多
#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" using namespace cv; int main( int, char** argv ) { Mat src,gray; src = imread( argv[1] ); GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT ); cvtColor( src, gray, CV_RGB2GRAY ); namedWindow("srcImage", 1); namedWindow("dstImage", 1); Mat grad,abs_grad; Laplacian( gray, grad, CV_16S, 3); convertScaleAbs( grad, abs_grad ); Mat sharpped = gray + abs_grad; imshow("srcImage", gray); imshow("dstImage", sharpped); waitKey(); return 0; }
OpenCV2马拉松第15圈——边缘检测(Laplace算子,LOG算子),布布扣,bubuko.com
OpenCV2马拉松第15圈——边缘检测(Laplace算子,LOG算子)
标签:opencv 拉普拉斯算子 log 拉普拉斯锐化 边缘检测
原文地址:http://blog.csdn.net/abcd1992719g/article/details/25559527