opencv 读取图片信息及区域数据

#include <highgui.h>
#include <cv.h>     
#include <iostream.h>

void  main() 
{
	IplImage* src_img=cvLoadImage("zjut.jpg",1);				//读入一幅图像
	
	IplImage* dst_img;
	
	//一下为显示读入图像的一些信息
	cout<<"★★★★★★★★★★★★★★★★★★★★★★"<<endl<<endl;
	cout<<"         1.jpg的图像信息"<<endl<<endl;
	cout<<"★★★★★★★★★★★★★★★★★★★★★★"<<endl<<endl;
	// IplImage该结构体的大小：112字节   
	cout<<"          Img's size:  "<<src_img->nSize<<endl; 
	//版本ID :0      
	cout<<"            Img's ID:  "<<src_img->ID<<endl;   
	// 显示读入图像信道数：3  
	cout<<"Img's channel's nums:  "<<src_img->nChannels<<endl; 
	//像素的位深度: 8      
	cout<<"         Img's depth:  "<<src_img->depth<<endl;   
	//0  - 交叉存取颜色信道, 
	cout<<"     Img's dataOrder:  "<<src_img->dataOrder<<endl;              
	//0 - 图像数据分布结果：顶-左结构  
	cout<<"        Img's origin:  "<<src_img->origin<<endl;      
	//图像宽像素数：400     
	cout<<"         Img's width:  "<<src_img->width<<endl;                
	//图像高度像素数：600  
	cout<<"        Img's height:  "<<src_img->height<<endl;                   
	// 未指定ROI区域指针为空：0x00000000:
	cout<<"           Img's ROI:  "<<src_img->roi<<endl; 	
	//排列的图像行大小：1200 
	cout<<"     Img's widthStep:  "<<src_img->widthStep<<endl; 
	// 图像数据大小(在交叉存取格式下imageSize=image->height*image->widthStep），单位字节
	cout<<"       Img'imageSize:  "<<src_img->imageSize<<endl;   
	
		
	//输出图像一个像素对应的RGB值。

	 for(int i=0; i<200; i=i+3)
	 {
		 cout<<(int)(uchar)src_img->imageData[i]   <<"  "			//Blue
			 <<(int)(uchar)src_img->imageData[i+1]<<"  "			//Green
			 <<(int)(uchar)src_img->imageData[i+2]<<"  "			//Red
			 <<endl;
	 }
		
	dst_img=cvCreateImage( cvSize(src_img->width, 
							src_img->height ),
							src_img->depth, 3 );

	//dst_img 是src_img的倒置图像		
	cvConvertImage(src_img,dst_img,CV_CVTIMG_FLIP);		
	
	cvNamedWindow("1.jpg",CV_WINDOW_AUTOSIZE); 
	cvNamedWindow("2.jpg",CV_WINDOW_AUTOSIZE); 	
	
	cvShowImage("1.jpg",src_img);				//显示图像
	cvShowImage("2.jpg",dst_img);			
	
	cvWaitKey(0);		
	
	cvReleaseImage(&src_img);						//释放图像
	cvReleaseImage(&dst_img); 
}