YUV颜色空间下成熟苹果识别（有标记方框）

I=imread('apple1.jpg'); %显示原来图像 figure(1); imshow(I); set(figure(1),'NumberTitle','off','Name','原始图像') ; R=I(:,:,1); G=I(:,:,2); B=I(:,:,3); Y =0.299*R + 0.587*G + 0.114*B; U = -0.147*R - 0.289*G + 0.436*B; V = 0.615*R - 0.515*G - 0.100*B; %显示YUV颜色空间下的图像显示 I1=cat(3,Y,U,V); figure(2); imshow(I1); set(figure(2),'NumberTitle','off','Name','YUV颜色图像') ; figure(3); imshow(I1(:,:,1)); set(figure(3),'NumberTitle','off','Name','YUV图像Y分量图像显示') ; figure(4); imshow(I1(:,:,2)); set(figure(4),'NumberTitle','off','Name','YUV图像U分量图像显示'); figure(5); imshow(I1(:,:,3)); set(figure(5),'NumberTitle','off','Name','YUV图像V分量图像显示'); G=I1(:,:,3); [m n]=size(G); figure(6); imhist(G);grid minor U=im2bw(G,25/255);imtool(U) U_fill=imfill(U,'holes');imtool(U_fill)%分割出来的图像可能存在孔洞，因此可以填充处理 L=bwlabel(U_fill);%图像标记，每一个独立的区域被标记为一个值 s=regionprops(L, 'area');%求每一个区域的面积值 areas=cat(1, s.Area); area_1=sort(areas,'descend'); final=bwareaopen(U_fill,area_1(2));imtool(final) t_fenge_label=bwlabel(final);%对分割后的图像进行标记 STATS=regionprops(t_fenge_label,'boundingbox'); imshow(I); %先显示图片 %画出boundingbox的矩形区域 for k=1:max(max(t_fenge_label)) rectangle('Position',STATS(k).BoundingBox,'EdgeColor','g'); hold on end hold off;