基于机器视觉实现棍子计数（分颜色计数）附Matlab代码.zip

im=imread('im2.jpg'); figure;imshow(im,[]);title('原图'); I = double(im); Ir = I(:,:,1)-I(:,:,2); %红色减去绿色 figure;imshow(Ir,[]);title('红色减去绿色'); Irmask = Ir > 20; %提取二值化的红色小棍信息 Igmask = Ir < -50; figure;imshow(Irmask,[]);title('红色小棍二值图'); figure;imshow(Igmask,[]);title('绿色小棍二值图'); bwr=bwareaopen(Irmask,500); figure;imshow(bwr); bwg=bwareaopen(Igmask,500,4); [L,num]=bwlabel(bwr,4); [L1,num1]=bwlabel(bwg,4); aa=(L1==3); figure;imshow(aa); m1=num; m=zeros(2,num); for i=1:m1 % 计算目标区域中心，用于显示编号的位置 [p,q]=find(L==i); temp=[p,q]; [x,y]=size(temp); m(1,i)=sum(p)/x; m(2,i)=sum(q)/x; end for i=1:m1 figure(1); text(m(2,i),m(1,i),int2str(i),'color','green') end m3=num1;%ahe1(1,1); m2=zeros(2,num1); for i=1:m3 % 计算目标区域中心，用于显示编号的位置 [p,q]=find(L1==i); temp=[p,q]; [x,y]=size(temp); m2(1,i)=sum(p)/x; m2(2,i)=sum(q)/x; end for i=1:m3 figure(1); text(m2(2,i),m2(1,i),int2str(i),'color','red'); end