MATLAB之图像RGB分离

file_path =  'D:/MATLAB/bin/IMAGES/Original_1024/';% 图像文件夹路径
img_path_list = dir(strcat(file_path,'*.tif'));%获取该文件夹中所有jpg格式的图像
img_num = length(img_path_list);%获取图像总数量
if img_num > 0 %有满足条件的图像
        for j = 1:img_num %逐一读取图像
            image_name = img_path_list(j).name;% 图像名
            Image =  imread(strcat(file_path,image_name));
            %fprintf('%d %d %s\n',j,strcat(file_path,image_name));% 显示正在处理的图像名
            
         

            % 以对话框的形式选择打开一幅图像

            %设置参数

            Gray=rgb2gray(Image);

            R=Image(:,:,1); G=Image(:,:,2); B=Image(:,:,3);

            diff_R=0; diff_G=0; diff_B=0;  % 设置红、绿、蓝三种颜色提取阈值(越大越严格)

            %红色提取

            Image_R=Image;

            RP_R=Image(:,:,1); RP_G=Image(:,:,2); RP_B=Image(:,:,3);

            XYR=~((R-G)>diff_R&(R-B)>diff_R);  % 提取红色条件是R分量与G、B分量差值大于设定

            Mask=Gray(XYR);  % 灰照片掩膜

            RP_R(XYR)=Mask; RP_G(XYR)=Mask; RP_B(XYR)=Mask;  % 使得非红色区域变为灰色

            Image_R(:,:,1)=RP_R; Image_R(:,:,2)=RP_G;Image_R(:,:,3)=RP_B;

            %绿色提取

            Image_G=Image;

            GP_R=Image(:,:,1); GP_G=Image(:,:,2); GP_B=Image(:,:,3);

            XYG=~((G-R)>diff_G&(G-B)>diff_G);  % 提取绿色条件是G分量与R、B分量差值大于设定

            Mask=Gray(XYG);  % 灰照片掩膜

            GP_R(XYG)=Mask; GP_G(XYG)=Mask;GP_B(XYG)=Mask;  % 使得非绿色区域变为灰色

            Image_G(:,:,1)=GP_R; Image_G(:,:,2)=GP_G;Image_G(:,:,3)=GP_B;

            %蓝色提取

            Image_B=Image;

            BP_R=Image(:,:,1);BP_G=Image(:,:,2);BP_B=Image(:,:,3);

            XYB=~((B-R)>diff_B&(B-G)>diff_B);  % 提取绿色条件是G分量与R、B分量差值大于设定

            Mask_B=Gray(XYB);  % 灰照片掩膜

            BP_R(XYB)=Mask_B; BP_G(XYB)=Mask_B;BP_B(XYB)=Mask_B;  % 使得非蓝色区域变为灰色

            Image_B(:,:,1)=BP_R; Image_B(:,:,2)=BP_G;Image_B(:,:,3)=BP_B;

            %显示结果

            %subplot(2,2,1),imshow(Image); title('Image');

            %subplot(2,2,2),imshow(Image_R); title('Red Pass');

            %subplot(2,2,3),imshow(Image_G); title('Green Pass');

           % subplot(2,2,4),imshow(Image_B); title('Blue Pass');

            % 显示原图与R/G/B三色提取结果对比图并显示标签
            
            Img_R_path = strcat('D:/MATLAB/bin/IMAGES/RedChannels/_1024_pixel/',image_name);
            Img_G_path = strcat('D:/MATLAB/bin/IMAGES/GreenChannels/_1024_pixel/',image_name);
            %保存结果

            imwrite(Image_R,Img_R_path,'tif');

            imwrite(Image_G,Img_G_path,'tif');

            %imwrite(Image_B,'Image_B.jpg','jpeg');

            
            
            %图像处理过程 省略
        end
end

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转载自www.cnblogs.com/zgqcn/p/10952226.html