今天找到了个简单亮度校正功能的方法感觉效果还可以,使用于简单背景

代码如下

int _tmain(int argc, _TCHAR* argv[])
{
	IplImage* src;
	// 第一条命令行参数确定了图像的文件名。
	char* filename = (char*)"C:\\Users\\chenchao\\Desktop\\结晶\\25.bmp";
	if( (src = cvLoadImage( filename, 0)) == 0 )
		return -1;
	cvNamedWindow( "src", 1 );   
	cvShowImage( "src", src );

	IplImage* mean=cvCreateImage(cvGetSize(src), 8, 1 );
	IplImage* dst=cvCreateImage(cvGetSize(src), 8, 1 );
	cvSmooth( src, mean, CV_MEDIAN , 101, 101, 0, 0 );
	cvNamedWindow( "mean", 1 );   
	   cvShowImage( "mean", mean );

	int i,j;
	int k;
	double val,val_mean,val_dst;
	float factor=0.7;
	int step_src=src->widthStep/sizeof(uchar);
	int step_mean=mean->widthStep/sizeof(uchar);
	for(j=0;j<src->height;j++)
	{
		for(i=0;i<src->width;i++)
		{
			k=j*step_src+i; 
			val=((uchar*)(src->imageData))[k];  //获取源图像像素点数据
			val_mean=((uchar*)(mean->imageData))[k];//获取平滑处理后的图像像素点
			val_dst=(int)( (127-val_mean)*factor + val ); //计算目标像素值
			//防止数据越界
			if(val_dst<0)
				val_dst=0;
			//转换成整数复制
			((uchar*)(dst->imageData))[k]=(int)val_dst; 
		}
	}

	cvNamedWindow( "dst", 1 );   
	cvShowImage( "dst", dst );

	cvWaitKey(0);
	cvSaveImage("C:\\Users\\chenchao\\Desktop\\1.bmp",dst);
	cvReleaseImage(&src); 
	cvReleaseImage(&mean);
	cvReleaseImage(&dst);
	cvDestroyWindow("src");
	cvDestroyWindow("mean");
	cvDestroyWindow("dst");

	return 0;
}