图像处理——（源）腐蚀（eroded）、膨胀（dilated）函数编程实现

 1 #include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include<iostream>
#include<stdlib.h>
using namespace cv;
using namespace std;

//自定义膨胀函数
void dilated_my( Mat img1,Mat bin,int k)
{
    k=(k-1)/2;        
    for (int i = 0; i < bin.rows; ++i){
        for (int j = 0; j < bin.cols; ++j){   
            
            uchar maxV = 0;    
            //遍历周围最大像素值
            for (int yi = i-k; yi <= i+k; yi++)    {
                for (int xi = j-k; xi <= j+k; xi++)    {                   
                    if (xi<0||xi>= bin.cols|| yi<0 || yi >= bin.rows){
                        continue;
                    }                   
                
                    maxV = (std::max<uchar>)(maxV, bin.at<uchar>(yi, xi));          
                }
            }
           img1.at<uchar>(i, j) = maxV;
        }
    } 
}
//自定义腐蚀函数
void eroded_my( Mat img1,Mat bin ,int k)
{
    k=(k-1)/2;    
    for (int i = 0; i < bin.rows; ++i){
        for (int j = 0; j < bin.cols; ++j){   
            uchar minV = 255;
            
            //遍历周围最小像素值
            for (int yi = i-k; yi <= i+k; yi++)    {
                for (int xi = j-k; xi <= j+k; xi++)    {                   
                    if (xi<0||xi>= bin.cols|| yi<0 || yi >= bin.rows){
                        continue;
                    }                   
                    minV = (std::min<uchar>)(minV, bin.at<uchar>(yi, xi));
                             
                }
            }
           img1.at<uchar>(i, j) = minV;
        }
    } 
}
int main()
{
    //从文件中读取成灰度图像


    Mat img1 = imread("E://txm.jpg",0);    
    imshow("gray",img1);
    Mat dst1;
    Mat dst2;
    Mat bin;
    threshold(img1,bin,200,255,CV_THRESH_BINARY);

    //opencv函数法
    Mat structElement1 = getStructuringElement(MORPH_RECT, Size(5,5));
    dilate(bin,dst1,structElement1);
    imshow("opencv_dilated", dst1);
    erode(bin,dst2,structElement1);
    imshow("opencv_eroded", dst2);

    //自定义方法
    dilated_my(img1,bin,5);    
    imshow("my_dilated",img1);        
    eroded_my(img1,bin,5);    
    imshow("my_eroded",img1);    

    waitKey(0);
    return 0;

}

原图：

opencv函数法：

自己函数：