边缘检测：sobel-白红宇

边缘检测：sobel

阅读量：4100 次

发布时间：2019-05-25

本文共 1367 字，大约阅读时间需要 4 分钟。

sobel

原理比较简单，参照

流程上就是一张灰度图片分别进行两次卷积，然后将两次卷积后的图片合在一起

#include 
   
    #include
    
     #include 
     
      using namespace std;using namespace cv;void conv(char *G, Mat pic, Mat &res){
   	int i, j, i1, j1;	int tmp;	for (i = 1; i < pic.rows-1; i++)	{
   		for (j = 1; j < pic.cols - 1; j++)		{
   			tmp = 0;			for (i1 = -1; i1 <= 1; i1++)			{
   				for (j1 = -1; j1 <= 1; j1++)				{
   					tmp += pic.at
      
       (i + i1, j + j1)*G[(j1 + 1) * 3 + i1 + 1];				}			}			res.at
       
        (i, j) = tmp;		}	}}void merge1(Mat resX, Mat resY, Mat &res){
   	int tmp;	for (int i = 0; i < res.rows; i++)	{
   		for (int j = 0; j < res.cols; j++)		{
   			tmp = abs(resX.at
        
         (i, j)) + abs(resY.at
         
          (i, j)); //tmp = sqrt(resX.at
          
           (i, j)*resX.at
           
            (i, j) + resY.at
            
             (i, j)*resY.at
             
              (i, j)); if (tmp > 255) tmp = 255; res.at
              
               (i,j) = tmp; } }}int main(){ char Gx[3 * 3] = { -1, 0, 1, -2, 0, 2, -1, 0, 1 }; char Gy[3 * 3] = { 1, 2, 1, 0, 0, 0, -1, -2, -1 }; Mat pic = imread("C:\\Users\\Thinkpad\\Desktop\\c++work\\pic\\lena.jpg", 0); Mat resX = Mat::zeros(pic.rows, pic.cols, CV_16SC1); Mat resY = Mat::zeros(pic.rows, pic.cols, CV_16SC1); conv(Gx, pic, resX); conv(Gy, pic, resY); Mat res = Mat::zeros(pic.rows, pic.cols, CV_8UC1); merge1(resX, resY, res); //imwrite("C:\\Users\\Thinkpad\\Desktop\\c++work\\pic\\lena1.jpg", res); imshow("1", res); waitKey(); return 0;}