| 题目要求 |
| 程序代码 |
| 结果图片 |
加载一副多细节图像
a、利用cvResize函数缩小图像，每个维度上比例为2，重复三次并显示结果
b、利用cvPyrDown函数在原始图像上进行三次降采样，显示结果
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 #include <math.h> 11 #include <stdlib.h> 12 using namespace cv; 13 using namespace std; 14 //函数声明-->--->-->--->-->--->-->--->// 15 16 bool IsCanBeUsedForImagePyramid(IplImage * img, uint32_t layerCount, int PyrType = 0); 17 18 //<--<--<--<--<--<--<--<--<--函数声明// 19 20 int _tmain(int argc, _TCHAR* argv[]) 21 { 22 const char * fileName1 = "D:\Work\Work_Programming\Source\Image\优秀图片\纹理\纹理_灰度.jpg"; 23 IplImage * src1 = cvLoadImage(fileName1, CV_LOAD_IMAGE_GRAYSCALE); 24 assert(src1); 25 26 cvNamedWindow("原始图像", 0); 27 cvNamedWindow("题目_a", 0); 28 cvNamedWindow("题目_b", 0); 29 30 cvShowImage("原始图像", src1); 31 32 //---------------------------a：开始--------------------------------// 33 34 IplImage * temp_a1 = cvCreateImage(cvSize((src1->width) / 2, (src1->height) / 2), src1->depth, src1->nChannels); 35 cvZero(temp_a1); 36 37 cvResize(src1, temp_a1); 38 39 IplImage * temp_a2 = cvCreateImage(cvSize((temp_a1->width) / 2, (temp_a1->height) / 2), temp_a1->depth, temp_a1->nChannels); 40 cvZero(temp_a2); 41 42 cvResize(temp_a1, temp_a2); 43 44 IplImage * image_a = cvCreateImage(cvSize((temp_a2->width) / 2, (temp_a2->height) / 2), temp_a2->depth, temp_a2->nChannels); 45 46 cvResize(temp_a2, image_a); 47 48 cvShowImage("题目_a", image_a); 49 50 //---------------------------a：结束--------------------------------// 51 52 //---------------------------b：开始--------------------------------// 53 54 bool isTheImageCanUsed = IsCanBeUsedForImagePyramid(src1, 3); 55 56 IplImage * temp_b1; 57 IplImage * temp_b2; 58 IplImage * image_b; 59 60 if (isTheImageCanUsed == false) 61 { 62 cout << "图像不符合要求" << endl; 63 } 64 else 65 { 66 temp_b1 = cvCreateImage(cvSize((src1->width) / 2, (src1->height) / 2), src1->depth, src1->nChannels); 67 cvZero(temp_b1); 68 69 cvPyrDown(src1, temp_b1); 70 71 temp_b2 = cvCreateImage(cvSize((temp_b1->width) / 2, (temp_b1->height) / 2), temp_b1->depth, temp_b1->nChannels); 72 cvZero(temp_b2); 73 74 cvPyrDown(temp_b1, temp_b2); 75 76 image_b = cvCreateImage(cvSize((temp_b2->width) / 2, (temp_b2->height) / 2), temp_b2->depth, temp_b2->nChannels); 77 cvZero(image_b); 78 79 cvPyrDown(temp_b2, image_b); 80 cvShowImage("题目_b", image_b); 81 } 82 83 //---------------------------b：结束--------------------------------// 84 85 cvWaitKey(0); 86 87 cvReleaseImage(&src1); 88 cvReleaseImage(&temp_a1); 89 cvReleaseImage(&temp_a2); 90 cvReleaseImage(&image_a); 91 92 cvReleaseImage(&temp_b1); 93 cvReleaseImage(&temp_b2); 94 cvReleaseImage(&image_b); 95 96 cvDestroyWindow("原始图像"); 97 cvDestroyWindow("题目_a"); 98 cvDestroyWindow("题目_b"); 99 100 return 0; 101 } 102 103 104 //cvPyrType表示操作类型，cvPyrDown和cvPyrUp，0代表cvPyrDown和cvPyrSetmentation，暂时只针对cvPyrDown判断层数。相关参数见书中对cvPyrSetmentation的说明 105 bool IsCanBeUsedForImagePyramid(IplImage * img, uint32_t layerCount, int PyrType) 106 { 107 int imgWidth = img->width; 108 int imgHeight = img->height; 109 110 if (imgWidth % 2 != 0 || imgHeight % 2 != 0) 111 { 112 return false; 113 } 114 115 uint32_t tempWidth = imgWidth / 2; 116 uint32_t tempHeight = imgHeight / 2; 117 uint32_t canUsedCount = 0; 118 119 while (tempWidth % 2 == 0) 120 { 121 canUsedCount++; 122 tempWidth = tempWidth / 2; 123 } 124 125 if (canUsedCount < layerCount) 126 { 127 return false; 128 } 129 130 canUsedCount = 0; 131 132 while (tempHeight % 2 == 0) 133 { 134 canUsedCount++; 135 tempHeight = tempHeight / 2; 136 } 137 138 if (canUsedCount < layerCount) 139 { 140 return false; 141 } 142 143 return true; 144 }
 |
|
 |
 |