#include <iostream>
#include <opencv2/opencv.hpp>
#include <math.h>
using namespace std;
using namespace cv;
//拉普拉斯 边缘计算
void TLaplacian()
{
Mat img1, img2,gray_img,edge_img;
char* win1 = "window1";
char* win2 = "window2";
char* win3 = "window3";
char* win4 = "window4";
namedWindow(win1,CV_WINDOW_AUTOSIZE);
namedWindow(win2,CV_WINDOW_AUTOSIZE);
namedWindow(win3, CV_WINDOW_AUTOSIZE);
namedWindow(win4, CV_WINDOW_AUTOSIZE);
img1 = imread("D://images//1//21.jpg");
if (img1.empty())
{
cout << "could not found image"<< endl;
}
//高斯模糊,去掉噪点
GaussianBlur(img1,img2,Size(3,3),0,0);
//转为灰度图
cvtColor(img2,gray_img,CV_BGR2GRAY);
//拉普拉斯
Laplacian(gray_img,edge_img,CV_16S,3);
convertScaleAbs(edge_img,edge_img);
threshold(edge_img,edge_img,2,255,THRESH_OTSU|THRESH_BINARY);
imshow(win1,img1);
imshow(win2,img2);
imshow(win3, gray_img);
imshow(win4, edge_img);
}
int main()
{
TLaplacian();
waitKey(0);
return 0;
}
运行效果: