1.0.x-学习Opencv与MFC混合编程之---视频运动检测

源代码地址： http://download.csdn.net/detail/nuptboyzhb/3961668

版本1.0.x新增内容

视频运动检测

Ø 新建菜单项，Learning OpenCV——> OpenCVr入门——>视频运动检测

Ø 菜单项设置如下：

Ø 建立类向导

Ø 编辑代码

voidCCVMFCView::OnMyTestSport()

{

// TODO: Add your command handler codehere

//Alt+F8 整理代码

CvCapture* capture;

capture = cvCreateCameraCapture(0);//打开摄像头

if(capture==NULL)

{

MessageBox("未检测到摄像头，请检查摄像头安装是否正确");

}

else

{

CString WindowName1="摄像机";

IplImage *frame1 = 0;//第一帧

IplImage *frame2 = 0;//第二帧

IplImage *frame_sub= 0;//相减之后的帧

IplImage* pImg8u = NULL;//灰度图

//

assert(capture != NULL );//如果没有打开，中断

cvNamedWindow(WindowName1,CV_WINDOW_AUTOSIZE);

frame1= cvQueryFrame(capture);

frame_sub=cvCloneImage(frame1);

while(1)

{

frame2=cvQueryFrame(capture);

if(!frame2)

{

break;

}

cvAbsDiff(frame1,frame2,frame_sub);

frame1=cvCloneImage(frame2);

cvMoveWindow(WindowName1, 150, 200);

cvShowImage(WindowName1,frame_sub);

//  建立位图

pImg8u =cvCreateImage(cvGetSize(frame_sub),IPL_DEPTH_8U,1);

cvCvtColor(frame_sub,pImg8u,CV_BGR2GRAY);  //彩色变灰阶

//--------------一下是计算直方图-----------------------------

IplImage *src;

IplImage *histimg = 0;

CvHistogram *hist = 0;

int hdims = 256;     // 划分HIST的个数，越高越精确

src=cvCloneImage(pImg8u);

float hranges_arr[] ={0,255};

float* hranges =hranges_arr;

int bin_w;

float max_val;

int i;

cvNamedWindow("Histogram", 0 );

hist = cvCreateHist( 1,&hdims, CV_HIST_ARRAY, &hranges, 1 ); // 计算直方图

histimg= cvCreateImage( cvSize(320,200), 8, 3 );

cvZero( histimg );

cvCalcHist( &src, hist,0, 0 ); // 计算直方图

cvGetMinMaxHistValue( hist,0, &max_val, 0, 0 );  // 只找最大值

cvConvertScale(hist->bins, hist->bins,

max_val ? 255. /max_val : 0., 0 ); // 缩放 bin 到区间 [0,255]

cvZero( histimg );

bin_w = histimg->width /hdims;  // hdims: 条的个数，则 bin_w 为条的宽度

// 画直方图

for( i = 0; i < hdims;i++ )

{

double val = (cvGetReal1D(hist->bins,i)*histimg->height/255 );

CvScalar color =CV_RGB(255,255,0); //(hsv2rgb(i*180.f/hdims);

cvRectangle(histimg, cvPoint(i*bin_w,histimg->height),

cvPoint((i+1)*bin_w,(int)(histimg->height- val)),

color, 1, 8,0 );

}

cvMoveWindow("Histogram",550, 200);

cvShowImage( "Histogram",histimg );

//------------------------------------------------------

char c = cvWaitKey(1);

if( c == 27 )

{

break;

}

}

cvReleaseCapture( &capture );

cvDestroyWindow(WindowName1);

cvDestroyWindow("Histogram");

}

}

from:http://blog.csdn.net/nupt123456789/article/details/7100114