【练习5.4】图像求差及膨胀腐蚀

提纲
题目要求
程序代码
结果图片

题目要求：

拍两幅图片，两幅图片的拍摄位置略有不同，分别命名为src1和src2

a、将src1减去src2并求绝对值，记为diff12，理想情况下，diff12将使黑色

b、对diff12先腐蚀后膨胀

c、对diff12先膨胀后腐蚀

d、解释c和d结果图片的区别

程序代码：

  1 // OpenCVExerciseTesting.cpp : 定义控制台应用程序的入口点。
  2 //
  3 //D:\Work\Work_Programming\Source\Image\lena.jpg
  4 
  5 
  6 #include "stdafx.h"
  7 #include <cv.h>
  8 #include <highgui.h>
  9 #include <iostream>
 10 using namespace cv;
 11 using namespace std;
 12 //函数声明-->--->-->--->-->--->-->--->//
 13 
 14  
 15 
 16 //<--<--<--<--<--<--<--<--<--函数声明//
 17 
 18 int _tmain(int argc, _TCHAR* argv[])
 19 {
 20     const char * fileName1 = "D:\Work\Work_Programming\Source\Image\临时\鼠标1.jpg";
 21     const char * fileName2 = "D:\Work\Work_Programming\Source\Image\临时\鼠标2.jpg";
 22     IplImage * src1 = cvLoadImage(fileName1, CV_LOAD_IMAGE_UNCHANGED);
 23     IplImage * src2 = cvLoadImage(fileName2, CV_LOAD_IMAGE_UNCHANGED);
 24     assert(src1);
 25     assert(src2);
 26 
 27     //IplImage * img = cvCreateImage(cvSize(100, 100), IPL_DEPTH_8U, 1);
 28     //assert(img); 
 29     //cvZero(img);
 30     //cvSetReal2D(img, 49, 49, 255);    
 31      
 32     cvNamedWindow("原始图像1", 0);    
 33     cvNamedWindow("原始图像2", 0);
 34     cvNamedWindow("题目_a", 0);
 35     cvNamedWindow("题目_b", 0);
 36     cvNamedWindow("题目_c", 0);
 37     //cvNamedWindow("题目_d", 0);
 38 
 39     /*char * imageName = "E:\Testing\Image\ExerciseWindow.jpg";
 40     cvSaveImage(imageName, img);*/
 41     cvShowImage("原始图像1", src1);
 42     cvShowImage("原始图像2", src2);
 43      
 44     //---------------------------a：开始--------------------------------//
 45 
 46     IplImage * diff12 = cvCloneImage(src1);
 47     cvZero(diff12);
 48 
 49     cvAbsDiff(src1, src2, diff12);
 50     cvShowImage("题目_a", diff12);
 51 
 52     /*char * saveName = "E:\Testing\Image\SavePath\diff12.jpg";
 53     cvSaveImage(saveName, diff12);*/
 54 
 55     //---------------------------a：结束--------------------------------//    
 56 
 57 
 58     //---------------------------b：开始--------------------------------//
 59 
 60     IplImage * cleandiff = cvCloneImage(diff12);
 61     cvZero(cleandiff);
 62 
 63     cvErode(diff12, cleandiff);
 64     cvDilate(diff12, cleandiff);
 65     cvShowImage("题目_b", cleandiff);
 66 
 67     /*saveName = "E:\Testing\Image\SavePath\image_open.jpg";
 68     cvSaveImage(saveName, cleandiff);*/
 69 
 70     //---------------------------b：结束--------------------------------//    
 71 
 72     //---------------------------c：开始--------------------------------//
 73 
 74     IplImage * dirtydiff = cvCloneImage(diff12);
 75     cvZero(dirtydiff);
 76 
 77     cvDilate(diff12, dirtydiff);
 78     cvErode(diff12, dirtydiff);
 79     cvShowImage("题目_c", dirtydiff);
 80 
 81     /*saveName = "E:\Testing\Image\SavePath\image_close.jpg";
 82     cvSaveImage(saveName, dirtydiff);*/
 83 
 84     //---------------------------c：结束--------------------------------//    
 85 
 86     cvWaitKey(0);
 87 
 88     cvReleaseImage(&src1);
 89     cvReleaseImage(&src2);
 90     cvReleaseImage(&diff12);
 91     cvReleaseImage(&cleandiff);
 92     cvReleaseImage(&dirtydiff);
 93 
 94     cvDestroyWindow("原始图像1");     
 95     cvDestroyWindow("原始图像2");
 96     cvDestroyWindow("题目_a");
 97     cvDestroyWindow("题目_b");
 98     cvDestroyWindow("题目_c");
 99     //cvDestroyWindow("题目_d");
100 
101 
102     return 0;
103 }
104

结果图片：