数字图像的直方图均衡化（C/C++源代码）

2004年10月14日 11:46:00

数字图像的直方图均衡化是常用的图像增强方法，因为均衡化是自动完成的，无需人工干预，而且常常得到比较满意的结果。下面的程序是利用OPENCV提供的函数，实现这个功能。需要OPENCVB4.0的支持，在VC6下编译通过。

//

// perform histgram equalization for single channel image

// AssureDigit Sample code

//

#include "cv.h"

#include "highgui.h"

#defineHDIM 256
// bin ofHIST, default = 256

int main( int argc, char** argv )

{

IplImage*src
= 0, *dst = 0;

CvHistogram*hist = 0;

int n
=HDIM;

doublenn[HDIM];

ucharT[HDIM];

CvMat*T_mat;

int x;

int sum =
0;// sum of pixels of the source image
图像中象素点的总和

double val
=0;

if( argc !=2
|| (src=cvLoadImage(argv[1], 0)) == NULL) //force
to gray image

return
-1;

cvNamedWindow(
"source", 1 );

cvNamedWindow(
"result", 1 );

//
calculatehistgram 计算直方图

hist
=cvCreateHist( 1, &n, CV_HIST_ARRAY, 0,
1);

cvCalcHist(&src, hist, 0, 0 );

//
CreateAccumulative Distribute Function of histgram

val
=0;

for ( x =
0;x < n; x++)

{

val
= val + cvGetReal1D (hist->bins, x);

nn[x]
= val;

}

//Compute
intensity transformation 计算变换函数的离散形式

sum
=src->height * src->width;

for( x = 0;x
< n; x++ )

{

T[x]
= (uchar) (255 * nn[x] / sum); // range is [0,255]

}

//
Dointensity transform for source image

dst
=cvCloneImage( src );

T_mat
=cvCreateMatHeader( 1, 256, CV_8UC1 );

cvSetData(T_mat, T,
0);

//
directlyuse look-up-table function 直接调用内部函数完成
look-up-table的过程

cvLUT(
src,dst, T_mat );

cvShowImage(
"source", src );

cvShowImage("result", dst );

cvWaitKey(0);

cvDestroyWindow("source");

cvDestroyWindow("result");

cvReleaseImage(
&src );

cvReleaseImage(
&dst );

cvReleaseHist
( &hist );

return0;

}

Trackback:http://tb.blog.csdn.net/TrackBack.aspx?PostId=136003

分享到新浪微博