OpenCV学习——图像亮度、对比度调剂

OpenCV学习——图像亮度、对比度调节

#include "cv.h"#include "highgui.h"#include <stdio.h>int ImageAdjust(IplImage *src,IplImage *dst, double low,double high, //x direction double bottom,double top, //y direction double gamma);int main(void){ char *filename="lena.jpg"; IplImage *dst,*src = /blog.armyourlife.info/cvLoadImage(filename,0); if(!src) { printf("Couldn't seem to Open %s, sorry\n",filename); return -1; } cvNamedWindow( "src", 1 ); cvNamedWindow( "result", 1 ); // Image adjust dst = cvCloneImage(src); // 输入参数 [0,0.5] 和 [0.5,1], gamma=1 if( ImageAdjust( src, dst, 0, 0.5, 0.5, 1, 1)!=0) return -1; cvShowImage( "src", src ); cvShowImage( "result", dst ); cvWaitKey(0); cvDestroyWindow("src"); cvDestroyWindow("result"); cvReleaseImage( &src ); cvReleaseImage( &dst ); return 0;}int ImageAdjust(IplImage* src, IplImage* dst, double low, double high, // X方向：low and high are the intensities of src double bottom, double top, // Y方向：mapped to bottom and top of dst double gamma ){ double low2 = low*255; double high2 = high*255; double bottom2 = bottom*255; double top2 = top*255; double err_in = high2 - low2; double err_out = top2 - bottom2; int x,y; double val; if(low<0 && low>1 && high <0 && high>1&& bottom<0 && bottom>1 && top<0 && top>1 && low>high) return -1; // intensity transform for( y = 0; y < src->height; y++) { for (x = 0; x < src->width; x++) { val = ((uchar*)(src->imageData + src->widthStep*y))[x]; val=pow((val - low2)/err_in, gamma)*err_out+bottom2; if(val>255) val=255; if(val<0) val=0; // Make sure src is in the range [low,high] ((uchar*)(dst->imageData + dst->widthStep*y))[x] = (uchar) val; } } return 0;}

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