video-vehicle-detection.rar_matlab video_video_video matlab_视频_车

trafficObj1 = mmreader('traffic.avi'); mmplay('traffic.avi'); darkCarValue=70; darkCar=rgb2gray(read(trafficObj1,71)); %noDarkCar=imextendedmax(darkCar,darkCarValue); %imshow(darkCar); %figure,imshow(noDarkCar); sedisk=strel('disk',2); %noSmallStructures=imopen(noDarkCar,sedisk); %imshow(noSmallStructures); nframes=get(trafficObj1,'NumberOfFrames'); %帧数 I=read(trafficObj1,1); %读取第一帧 taggedCars=zeros([size(I,1) size(I,2) 3 nframes],class(I)); %定义一个4维数组存放每一帧 for k=1:nframes singleFrame = read(trafficObj1,k); %读取第k帧 I=rgb2gray(singleFrame); %转换为灰度图像 % figure,imhist(I,1000); noDarkCars=imextendedmax(I,darkCarValue); %减去阈值，局部极大值置1，其他置0（二值化） noSmallStructures=imopen(noDarkCars,sedisk);%开运算 noSmallStructures=bwareaopen(noSmallStructures,150); %从二值图像中移去所有小于150的连通域 L=bwlabel(noSmallStructures); %计算连通域 taggedCars(:,:,:,k)=singleFrame; if any(L(:)) stats=regionprops(L,{'centroid','area'}); %area:计算出在图像各个区域中像素总个数 centroid:给出各个区域的重心 areaArray=[stats.Area]; [junk,idx]=max(areaArray); c=stats(idx).Centroid; %返回像素数最多的这个区域的重心 c=floor(fliplr(c)); %左右翻转 width=2; row=c(1)-width:c(1)+width; col=c(2)-width:c(2)+width; taggedCars(row,col,1,k)=255; %重心标红 taggedCars(row,col,2,k)=0; taggedCars(row,col,3,k)=0; end end frameRate=get(trafficObj1,'FrameRate'); implay(taggedCars,frameRate);