opencv程序十五：实时视频轮廓检测

将上篇读取视频http://blog.csdn.net/zhangjikuan/article/details/39938581

与opencv程序九：轮廓检测均衡化http://blog.csdn.net/zhangjikuan/article/details/39900307

结合实现读取摄像头实时视频轮廓检测

程序如下：

// 21VideoContours.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include <cv.h>    
#include <cxcore.h>    
#include <highgui.h>  
 int apos=0;
void on_trackbar(int pos)
{
		apos=pos; 
}
int _tmain(int argc, _TCHAR* argv[])  
{  
    const char *pstrWindowsSrcTitle = "原图";
	const char *pstrWindowsGrayTitle = "灰度图";
	const char *pstrWindowsErZhiTitle = "二值图";
	const char *pstrWindowsContoursTitle = "轮廓图";
	const char *pstrWindowsContoursEqualizeTitle = "轮廓均衡图";
	IplImage* motion = NULL;   
    CvCapture* capture = NULL; //视频获取结构   
  
   CvSeq *g_pcvSeq = NULL; 
   //轮廓最大层数    
	int _levels = 5; 
    capture = cvCaptureFromCAM( 0 );  
   // capture = cvCaptureFromAVI( "1344.avi" );  
    if( capture )  
    {  
        cvNamedWindow( pstrWindowsSrcTitle, 1 );  
		cvNamedWindow(pstrWindowsGrayTitle, 1 );
		cvNamedWindow( pstrWindowsErZhiTitle, 1 );
		cvNamedWindow( pstrWindowsContoursTitle, 1 );

		cvGrabFrame( capture ); //从摄像头或者视频文件中抓取帧        
        IplImage* image = cvRetrieveFrame( capture ); //取回由函数cvGrabFrame抓取的图像,返回由函数cvGrabFrame 抓取的图像的指针
		IplImage* image_gray= cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
		IplImage* image_erzhi= cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
		IplImage* image_qualize= cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);
		IplImage *image_contours = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 3);
		// 滑动条        
		int nThreshold = 0;      
		cvCreateTrackbar("erzhihua", pstrWindowsErZhiTitle, &nThreshold, 254, on_trackbar); 
		CvMemStorage* cvMStorage = cvCreateMemStorage();
        for(;;)  
        {  
              
            if( !cvGrabFrame( capture )) //从摄像头或者视频文件中抓取帧  
                break;  
            image = cvRetrieveFrame( capture ); //取回由函数cvGrabFrame抓取的图像,返回由函数cvGrabFrame 抓取的图像的指针  
            cvShowImage( pstrWindowsSrcTitle, image );  
			// 转为灰度图            
			cvCvtColor(image, image_gray, CV_BGR2GRAY);  
			cvShowImage( pstrWindowsGrayTitle, image_gray );
			// 均衡化      
			cvEqualizeHist(image_gray, image_qualize); 
			// 转为二值图           
			cvThreshold(image_qualize, image_erzhi, apos, 255, CV_THRESH_BINARY); 
			cvShowImage(pstrWindowsErZhiTitle, image_erzhi );
			      
			// 检索轮廓并返回检测到的轮廓的个数      
			cvFindContours(image_erzhi,cvMStorage, &g_pcvSeq);      
			      
			     
			cvZero(image_contours);      
			cvDrawContours(image_contours, g_pcvSeq, CV_RGB(255,0,0), CV_RGB(0,255,0), _levels);      
			cvShowImage(pstrWindowsContoursTitle, image_contours);
            if( cvWaitKey(10) >= 0 )  
                break;  
        }  
		cvDestroyWindow(pstrWindowsSrcTitle); 
		cvDestroyWindow(pstrWindowsGrayTitle); 
		cvDestroyWindow(pstrWindowsErZhiTitle); 
		cvDestroyWindow(pstrWindowsContoursTitle); 
        cvReleaseCapture( &capture );
		cvReleaseImage(&image);
		cvReleaseImage(&image_gray);
		cvReleaseImage(&image_erzhi);
		cvReleaseImage(&image_contours);
         
    }  
  
    return 0;  
}  

结果如下所示：