【练习5.3】高斯平滑_调整调整4个参数的处理效果对比

学习OpenCV》中文版第5章第3题

提纲
题目要求
程序代码
结果图片

题目要求：

a、设置param1=param2=9，依次将param3设为1和6对比

b、设置param1=param2=0，依次将param3设为1和6对比

c、设置param1=param2=0，但这时令param3=1，param4=9，处理并显示结果

d、令param3=9，param4=1，重复操作c

e、将图像使用c平滑一次，再使用d平滑一次，显示结果

f、对图像依次进行两次平滑操作，第一次参数为param1=param2=0，param3=param4=9，第二次参数为param1=param2=0，param3=param4=0。将结果与e操作的结果进行对比。他们相同吗？为什么？

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 * fileName = "D:\Work\Work_Programming\Source\Image\Photoshop\样图.jpg";    
 21 
 22     const char * fileName = "D:\Work\Work_Programming\Source\Image\纹理\纹理_灰度.jpg";
 23     IplImage * img = cvLoadImage(fileName, CV_LOAD_IMAGE_UNCHANGED);
 24     assert(img);
 25 
 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("ExerciseWindow", 0);    
 33     cvNamedWindow("高斯模糊_a_1", 0);
 34     cvNamedWindow("高斯模糊_a_6", 0);
 35     cvNamedWindow("高斯模糊_b_1", 0);
 36     cvNamedWindow("高斯模糊_b_6", 0);
 37     cvNamedWindow("高斯模糊_c", 0);
 38     cvNamedWindow("高斯模糊_d", 0);
 39     cvNamedWindow("高斯模糊_e", 0);
 40     cvNamedWindow("高斯模糊_f", 0);
 41 
 42     /*char * imageName = "E:\Testing\Image\ExerciseWindow.jpg";
 43     cvSaveImage(imageName, img);*/
 44     cvShowImage("ExerciseWindow", img);
 45     
 46      
 47     //---------------------------a：开始--------------------------------//
 48 
 49     IplImage * image_Gauss_a = cvCloneImage(img);
 50     cvZero(image_Gauss_a);
 51 
 52     cvSmooth(img, image_Gauss_a, CV_GAUSSIAN, 9, 9, 1); 
 53     cvShowImage("高斯模糊_a_1", image_Gauss_a);
 54 
 55     cvZero(image_Gauss_a);
 56     cvSmooth(img, image_Gauss_a, CV_GAUSSIAN, 9, 9, 6);
 57     cvShowImage("高斯模糊_a_6", image_Gauss_a);
 58 
 59 
 60     //---------------------------a：结束--------------------------------//    
 61 
 62 
 63     //---------------------------b：开始--------------------------------//
 64 
 65     IplImage * image_Gauss_b = cvCloneImage(img);
 66     cvZero(image_Gauss_b);
 67 
 68     cvSmooth(img, image_Gauss_b, CV_GAUSSIAN, 0, 0, 1);
 69     cvShowImage("高斯模糊_b_1", image_Gauss_b);
 70 
 71     cvZero(image_Gauss_b);
 72     cvSmooth(img, image_Gauss_b, CV_GAUSSIAN, 0, 0, 6);
 73     cvShowImage("高斯模糊_b_6", image_Gauss_b);
 74 
 75     //---------------------------b：结束--------------------------------//    
 76 
 77     //---------------------------c：开始--------------------------------//
 78 
 79     IplImage * image_Gauss_c = cvCloneImage(img);
 80     cvZero(image_Gauss_c);
 81 
 82     cvSmooth(img, image_Gauss_c, CV_GAUSSIAN, 0, 0, 1,9);
 83      
 84     cvShowImage("高斯模糊_c", image_Gauss_c);
 85 
 86 
 87     //---------------------------c：结束--------------------------------//    
 88 
 89     //---------------------------d：开始--------------------------------//
 90 
 91     IplImage * image_Gauss_d = cvCloneImage(img);
 92     cvZero(image_Gauss_d);
 93 
 94     cvSmooth(img, image_Gauss_d, CV_GAUSSIAN, 0, 0, 9, 1);
 95 
 96     cvShowImage("高斯模糊_d", image_Gauss_d);
 97 
 98 
 99     //---------------------------d：结束--------------------------------//    
100 
101     //---------------------------e：开始--------------------------------//
102 
103     IplImage * image_Gauss_e = cvCloneImage(img);
104     cvZero(image_Gauss_e);
105 
106     cvSmooth(img, image_Gauss_e, CV_GAUSSIAN, 0, 0, 1, 9);
107     cvSmooth(image_Gauss_e, image_Gauss_e, CV_GAUSSIAN, 0, 0, 9, 1);
108 
109     cvShowImage("高斯模糊_e", image_Gauss_e);
110 
111 
112     //---------------------------e：结束--------------------------------//    
113 
114     //---------------------------f：开始--------------------------------//
115 
116     IplImage * image_Gauss_f = cvCloneImage(img);
117     cvZero(image_Gauss_f);
118 
119     cvSmooth(img, image_Gauss_f, CV_GAUSSIAN, 0, 0, 9, 9);
120     //param3和4不能设置为0，,报错
121     cvSmooth(image_Gauss_f, image_Gauss_f, CV_GAUSSIAN, 0, 0, 1, 1);
122 
123     cvShowImage("高斯模糊_f", image_Gauss_f);
124 
125 
126     //---------------------------f：结束--------------------------------//    
127 
128     cvWaitKey(0);
129 
130     cvReleaseImage(&img);
131     cvReleaseImage(&image_Gauss_a);
132     cvReleaseImage(&image_Gauss_b);
133     cvReleaseImage(&image_Gauss_c);
134     cvReleaseImage(&image_Gauss_d);
135     cvReleaseImage(&image_Gauss_e);
136     cvReleaseImage(&image_Gauss_f);
137 
138     cvDestroyWindow("ExerciseWindow");     
139     cvDestroyWindow("高斯模糊_a_1");
140     cvDestroyWindow("高斯模糊_a_6");
141     cvDestroyWindow("高斯模糊_b_1");
142     cvDestroyWindow("高斯模糊_b_6");
143     cvDestroyWindow("高斯模糊_c");
144     cvDestroyWindow("高斯模糊_d");
145     cvDestroyWindow("高斯模糊_e");
146     cvDestroyWindow("高斯模糊_f");
147 
148 
149     return 0;
150 }
151

结果图片：