Opencv把图中的较暗的物体变亮

这个题目是有Opencvchina那个网站里面出的每周一练题目，不知道是否是这样要求：原图如下所示

我处理好之后得出图像如下所示：

代码如下所示：

// 使图中的较暗的物体变亮.cpp : 定义控制台应用程序的入口点。///*=========================================================================名称：使图中的较暗的物体变亮时间：2013.08说明：把图片中所需要暗的东西变量==========================================================================*/#include "stdafx.h"#include "cv.h"#include "highgui.h"#include "cxcore.h"//----------声明函数----------////作用：该函数用来调节亮度int ImageAdjust(IplImage *src,IplImage *dst,                  double low,double high,        //x                double bottom,double top,    //y                 double gamma);    int main(void)  {   //-----声明两个图片指针，分别指向加载图片与输出图片-----//    IplImage *dst, *src;src = cvLoadImage("./6.jpg",0);  dst = cvCreateImage(cvGetSize(src), src->depth, 1);//初始化dst       if(!src)//如果图片指针src加载不成功返回值    {          printf("Couldn't seem to Open %s, sorry\n");          return -1;      }     //-----调用调节亮度函数-----//    if( ImageAdjust( src, dst, 0, 0.5, 0.5, 1, 1)!=0)           return -1;  cvThreshold(dst, dst,155, 255, CV_THRESH_BINARY);//二值化//-----闭操作运算-----//cvDilate(dst, dst, NULL, 1);cvErode(dst, dst, NULL, 1);cvSmooth(dst, dst,CV_GAUSSIAN);//高斯滤波cvThreshold(dst, dst,251, 255, CV_THRESH_BINARY);cvDilate(dst, dst, NULL, 1);//------设置局部区域进行膨胀操作------//cvSetImageROI(dst, cvRect(0, 210, 100, 100));cvDilate(dst, dst, NULL, 4);cvResetImageROI(dst);  //声明显示图片窗口cvNamedWindow( "src", 1 );      cvNamedWindow( "result", 1 );        //图片显示    cvShowImage( "src", src );      cvShowImage( "result", dst );  cvSaveImage("1.jpg", dst);    cvWaitKey(0);      //销毁所有窗口与释放内存    cvDestroyWindow("src");      cvDestroyWindow("result");      cvReleaseImage( &src );      cvReleaseImage( &dst );            return 0;  }    //------------------------------------------------------////函数初始化//------------------------------------------------------//int ImageAdjust(IplImage* src, IplImage* dst,           double low, double high,   // X方向        double bottom, double top, // Y方向          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;         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;  }