Exercise 5.2 uses a picture with a center of 255 to compare the smoothing effect of a Gaussian filter

"Study OpenCV" Chinese version 5th Chapter 2nd question

Outline

Topic Requirements

Program code

Result picture

Title Requirements:

Create a 100x100 single-channel image, place all pixels in the image zero, and set the center pixel value equal to 255.

C, the original with a 5x5 filter smoothing two times, and with the results of the 9x9 filter to see if similar, why

Program code:

1 //OpenCVExerciseTesting.cpp: Defines the entry point of the console application. 2 //3 //d:\\work\\work_programming\\source\\image\\lena.jpg4 5 6#include"stdafx.h"7#include <cv.h>8#include 9#include <iostream>Ten using namespaceCV; One using namespacestd; A //function declaration---->-->--->-->--->-->--->// -  -  the  - //<--<--<--<--<--<--<--<--<--Function Declaration// -  - int_tmain (intARGC, _tchar*argv[]) + { -Iplimage * img = cvcreateimage (cvsize ( -, -), ipl_depth_8u,1); + assert (IMG); A Cvzero (IMG); atCvsetreal2d (IMG, the, the,255); -  -Cvnamedwindow ("Exercisewindow",0); -Cvnamedwindow ("Gaussian Blur 5x5",0); -Cvnamedwindow ("Gaussian fuzzy 9x9",0); -Cvnamedwindow ("Gaussian Blur 5x5 two times",0); in  -Cvshowimage ("Exercisewindow", IMG); to  +  -     //---------------------------A: Start--------------------------------// the  *Iplimage * Image_gauss =cvcloneimage (IMG); $ Cvzero (Image_gauss);Panax Notoginseng  -Cvsmooth (IMG, Image_gauss, Cv_gaussian,5,5); the  +Cvshowimage ("Gaussian Blur 5x5", Image_gauss); A  the     //---------------------------A: End--------------------------------//     +  -  $     //---------------------------B: Start--------------------------------// $  -Iplimage * Image_gauss_9 =cvcloneimage (IMG); - Cvzero (image_gauss_9); the  -Cvsmooth (IMG, Image_gauss_9, Cv_gaussian,9,9);Wuyi  theCvshowimage ("Gaussian fuzzy 9x9", image_gauss_9); -  Wu     //---------------------------B: End--------------------------------//     -  About     //---------------------------C: Start--------------------------------// $  -     //5x5 two times for the original -Iplimage * Image_gauss_5_2 =cvcloneimage (IMG); - Cvzero (image_gauss_5_2); A  +Cvsmooth (IMG, Image_gauss_5_2, Cv_gaussian,5,5); theCvsmooth (Image_gauss_5_2, Image_gauss_5_2, Cv_gaussian,5,5); -  $Cvshowimage ("Gaussian Blur 5x5 two times", image_gauss_5_2); the  the  the     //---------------------------C: End--------------------------------//     the  -  inCvwaitkey (0); the  theCvreleaseimage (&img); AboutCvreleaseimage (&Image_gauss); theCvreleaseimage (&image_gauss_9); theCvreleaseimage (&image_gauss_5_2); the  +Cvdestroywindow ("Exercisewindow"); -Cvdestroywindow ("Gaussian Blur 5x5"); theCvdestroywindow ("Gaussian fuzzy 9x9");BayiCvdestroywindow ("Gaussian Blur 5x5 two times"); the  the     return 0; -}

Local Amplification :

Smoothing two times with the 5x5 filter, smoothing with the 9x9 filter, smoothing affects the number of pixels and the pixel values of each pixel are close.

Exercise 5.2 uses a picture with a center of 255 to compare the smoothing effect of a Gaussian filter