| 题目要求 |
| 程序代码 |
| 结果图片 |
拍一张某场景的图片，然后相机不动，在此场景中心位置放一个鼠标，再拍一张图片，将其载入电脑并转换为8位灰度图像
a、求其差的绝对值并显示结果，他应该是一个带有噪声的鼠标的掩码，
b、对结果图像进行二值化操作，剔除噪声的同时并保留鼠标，超过阈值的像素应设为255
c、在图像上进行CV_MOP_OPEN操作，进一步清除噪声
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\场景1.jpg"; 21 const char * fileName2 = "D:\Work\Work_Programming\Source\Image\临时\场景2.jpg"; 22 IplImage * src1 = cvLoadImage(fileName1, CV_LOAD_IMAGE_GRAYSCALE); 23 IplImage * src2 = cvLoadImage(fileName2, CV_LOAD_IMAGE_GRAYSCALE); 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 //针对有很强照明或反射梯度的图像，需要根据梯度进行阈值化时，自适应技术非常有用，看图5-24的处理结果对比很明显 64 cvThreshold(diff12, cleandiff, 64, 255, CV_THRESH_BINARY); 65 66 cvShowImage("题目_b", cleandiff); 67 68 /*saveName = "E:\Testing\Image\SavePath\image_open.jpg"; 69 cvSaveImage(saveName, cleandiff);*/ 70 71 //---------------------------b：结束--------------------------------// 72 73 //---------------------------c：开始--------------------------------// 74 75 IplImage * dirtydiff = cvCloneImage(cleandiff); 76 cvZero(dirtydiff); 77 78 IplConvKernel * kernel = cvCreateStructuringElementEx(3, 3, 1, 1, CV_SHAPE_RECT); 79 cvMorphologyEx(cleandiff, dirtydiff, NULL, kernel, CV_MOP_OPEN,2); 80 81 cvShowImage("题目_c", dirtydiff); 82 83 /*saveName = "E:\Testing\Image\SavePath\image_close.jpg"; 84 cvSaveImage(saveName, dirtydiff);*/ 85 86 //---------------------------c：结束--------------------------------// 87 88 89 cvWaitKey(0); 90 91 cvReleaseImage(&src1); 92 cvReleaseImage(&src2); 93 cvReleaseImage(&diff12); 94 cvReleaseImage(&cleandiff); 95 cvReleaseImage(&dirtydiff); 96 97 cvDestroyWindow("原始图像1"); 98 cvDestroyWindow("原始图像2"); 99 cvDestroyWindow("题目_a"); 100 cvDestroyWindow("题目_b"); 101 cvDestroyWindow("题目_c"); 102 //cvDestroyWindow("题目_d"); 103 104 105 return 0; 106 } 107
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