声明指针(包括图像.doc

#include highgui.h#include cv.h#include #include #include mmsystem.h#pragma comment(lib,winmm.lib) /声明指针（包括图像、矩阵） IplImage* image=NULL; IplImage* backimage=NULL; IplImage* foreimage=NULL; CvMat* imagemat=NULL; CvMat* foremat=NULL; CvMat* backmat=NULL; CvCapture* capture=NULL; int n=0;int main(int argc,char*argv) /创建窗口 cvNamedWindow(cvcamwindow,CV_WINDOW_AUTOSIZE); cvNamedWindow(background,1); cvNamedWindow(foreground,1); /读取摄像头 if(argc=1|(argc=2&strlen(argv1)=1&isdigit(argv10)capture=cvCaptureFromCAM(argc=2?argv10-0:0); else if(argc=2)capture=cvCaptureFromAVI(argv1);/声明视频文件结构，创建视频写入器 int isColor=1; int frameW=800; int frameH=600; int fps=5; CvVideoWriter* camWriter=cvCreateVideoWriter(record.avi,-1,fps,cvSize(frameW,frameH),isColor); /处理图像 while(nheight,image-width,CV_32FC1);foremat=cvCreateMat(image-height,image-width,CV_32FC1);imagemat=cvCreateMat(image-height,image-width,CV_32FC1);/将第一帧图像赋值给背景图像，并转换成单通道灰度图像cvCvtColor(image,backimage,CV_BGR2GRAY); /用背景图像为矩阵初始化cvConvert(backimage,foremat);cvConvert(backimage,backmat);cvConvert(backimage,imagemat); else if(n=11) /将当前图像赋值给前景图，并转换成单通道灰度图像，并 cvCvtColor(image,foreimage,CV_BGR2GRAY); cvConvert(foreimage,imagemat); /高斯滤波，平滑图像 cvSmooth(imagemat,imagemat,CV_GAUSSIAN,3,0,0); /当前帧和背景帧差分，并将差分结果赋值给前景 cvAbsDiff(imagemat,backmat,foremat); /对差分所得前景的灰度取均值 CvScalar averageValue; averageValue=cvAvg(foremat,0); /异常报警 if (averageValue.val030) PlaySound(alarm.wav,NULL,SND_ASYNC); Sleep(100); /将前景转化为图像格式cvConvert(foremat,foreimage);/二值化 cvThreshold(foreimage,foreimage,60,255.0,CV_THRESH_BINARY); /进行形态学滤波，去掉噪音 cvDilate(foreimage, foreimage, 0, 1); cvErode(foreimage, foreimage, 0, 2); cvDilate(foreimage, foreimage, 0, 1);/更新背景cvRunningAvg(imagemat,backmat,0.01,0); /将背景转化为图像格式cvConvert(backmat,backimage);/使图像正立 backimage-origin=image-origin;foreimage-origin=image-origin;/显示图像 cvShowImage(cvcamwindow, image); cvShowImage(background, backimage); cvShowImage(foreground,foreimage);/时间缓冲 int key=cvWaitKey(90); if(cvWaitKey(2)=0) break; /释放内存空间 cvDestroyWindow(cvcam window); cvDestroyWindow(background); cvDestroyWindow(foreground); cvReleaseImage(&foreimage); cvReleaseImage(&backimage); cvR