IplImage *pSrcImage = cvLoadImage("pout.jpg", CV_LOAD_IMAGE_UNCHANGED); 
IplImage *pGrayImage_8U = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1); 
IplImage *pGrayImage_8U_2 = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, 1); 

IplImage *pGrayImage_64F=cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_64F, 1);

cvCvtColor(pSrcImage, pGrayImage_8U, CV_BGR2GRAY); //RGB转灰度图像

cvConvertScale(pGrayImage_8U, pGrayImage_64F); //8U转64F
cvConvertScale(pGrayImage_64F, pGrayImage_8U_2) //64F转8U

#include <opencv2/opencv.hpp> 
#include <opencv2/legacy/compat.hpp> 
using namespace std; 
#pragma comment(linker, "/subsystem:\"windows\" /entry:\"mainCRTStartup\"") 

int main()
{
int i=0;
unsigned char *imageData_1;
unsigned char *imageData_2;
const char *pstrWindowsATitle = "原图像(opencv66.net)"; 
const char *pstrWindowsBTitle = "线性变换后的图像(opencv66.net))"; 
//从文件中加载原图 
IplImage *pSrcImage = cvLoadImage("coins.png", CV_LOAD_IMAGE_UNCHANGED); 
//创建输出的图像
IplImage *pOutImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U,1);
cvConvertScale(pSrcImage,pOutImage,2,-55); //利用cvConvertScale增加对比度的线性变换，线性变换中的比例因子k=2 偏移值b=-55
cvNamedWindow(pstrWindowsATitle, CV_WINDOW_AUTOSIZE); 
cvShowImage(pstrWindowsATitle,pSrcImage); 
cvNamedWindow(pstrWindowsBTitle, CV_WINDOW_AUTOSIZE); 
cvShowImage(pstrWindowsBTitle, pOutImage); 
cvWaitKey(0); 
cvDestroyWindow(pstrWindowsATitle); 
cvDestroyWindow(pstrWindowsBTitle); 
cvReleaseImage(&pSrcImage); 
cvReleaseImage(&pOutImage); 
return 0;
}