OpenCV 中腐蚀和膨胀

原創

菜鸟小馒头

2020-02-22 04:48

用手机拍摄同一场景的两张照片，拍摄位置略有不同。

分别进行如下操作：

1、src1 减去 scr2求绝对值=>diff12

2、对diff12先进行腐蚀，在进行膨胀操作；

3、对diff12先进行膨胀，在进行腐蚀操作；

#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <stdio.h>
#include <cstdlib>

using namespace std;
using namespace cv;


int main(int argc, const char * argv[]) {
    
    /*1.载入图像*/
    const char filename1[] = "/Users/linwang/DownLoads/Pic1.jpg";
    const char filename2[] = "/Users/linwang/DownLoads/Pic2.jpg";
    IplImage * Img1 = cvLoadImage(filename1);
    IplImage * Img2 = cvLoadImage(filename2);
    
    /*2.缩放图像*/
    double fScale = 0.1;        //缩放倍数
    CvSize czSize;              //目标图像尺寸
    
    czSize.width  = Img1->width  * fScale;
    czSize.height = Img1->height * fScale;
    
    IplImage * New_Img1 = cvCreateImage(czSize, Img1->depth , Img1->nChannels);
    cvResize(Img1, New_Img1);
    
    IplImage * New_Img2 = cvCreateImage(czSize, Img2->depth , Img2->nChannels);
    cvResize(Img2, New_Img2);
    
    cout<<New_Img1->width<<" -> "<<New_Img1->height<<endl;
    cout<<New_Img2->width<<" -> "<<New_Img2->height<<endl;
    
    cvNamedWindow("Pic1");
    cvNamedWindow("Pic2");
    cvShowImage("Pic1", New_Img1);
    cvShowImage("Pic2", New_Img2);
    
    /*3.计算img1 和 img2差值的绝对值*/
    IplImage * diff12 = cvCloneImage(New_Img1);
    cvSetZero(diff12);
    cvAbsDiff(New_Img1, New_Img2, diff12);
    cvNamedWindow("ABSDIFF");
    cvShowImage("ABSDIFF", diff12);
    
    /*4对DIFF先进行腐蚀，然后进行膨胀，结果写为cleandiff*/
    IplImage * cleandiff = cvCloneImage(diff12);
    cvSetZero(cleandiff);
    cvErode(diff12, cleandiff);  //腐蚀操作
    cvDilate(cleandiff, cleandiff);  //膨胀操作，支持in-place
    
    cvNamedWindow("cleandiff");
    cvShowImage("cleandiff", cleandiff);
    
    /*对DIFF先进行膨胀，然后进行腐蚀，结果写为dirtydiff*/
    IplImage * dirtydiff = cvCloneImage(diff12);
    cvDilate(diff12, dirtydiff);
    cvErode(dirtydiff, dirtydiff);
    cvNamedWindow("dirtydiff");
    cvShowImage("dirtydiff", dirtydiff);
    
    cvWaitKey(0);
    return 1;
    
}