数字图像处理-图像合成

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图像分割

选择特定拓展名

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img_path =  'pics/';

ext = {'*.jpeg','*.jpg','*.png'};
img_list = [];
for i = 1:numel(ext)
    img_list = [img_list ; dir(fullfile(img_path,ext{i}))];
end
img_num = length(img_list);

转换为特定尺寸的灰度图像

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if img_num > 0
    for j = 1 : img_num
        img_name = img_list(j).name;
        img = imread(strcat(img_path,img_name));
        img = imresize(img,[640 480]);
        G = rgb2gray(img);
        strname =  strsplit(img_name,'.');
        name = strname{1,1};
        imwrite(G , strcat(img_path, name , '.gif'));
    end
end

求素材图片的RGB平均值

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SIZE = 5;

img_RGB = zeros(img_num,SIZE,SIZE,3);
average_rgb = zeros(img_num,3);

if img_num > 0
        for j = 1:img_num
            img_name = img_list(j).name;
            img =  imread(strcat(img_path,img_name));
            img = imresize(img,[SIZE SIZE]);
            img_RGB(j,:,:,:) = img; 

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

            average_rgb(j,1)=mean(mean(R));
            average_rgb(j,2)=mean(mean(G));
            average_rgb(j,3)=mean(mean(B));
        end
end

替换为素材图片

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original_Img = 	('original.png');
Image_size = size(original_Img);

Image_RGB = zeros(Image_size(1),Image_size(2),3);
Image_RGB = original_Img(:,:,:);

for row = 1 : SIZE :Image_size(1)-SIZE
    for col = 1 : SIZE :Image_size(2)-SIZE
       rgb_mean = zeros(3);
       for k = 1:3
            temp = original_Img(row:row+SIZE-1 ,col:col+SIZE-1,k);
            rgb_mean(k) = mean(mean(temp));
       end

       deviation = zeros(1,img_num);
       for k = 1:img_num
           deviation(k) = abs(average_rgb(k,1) - rgb_mean(1)) + abs(average_rgb(k,2) - rgb_mean(2)) + abs(average_rgb(k,3) - rgb_mean(3)); 求目标区域与每一个素材图片的RGB误差
       end

       [min_value,min_position] = min(deviation);  %得到最小值下标

       Image_RGB(row:row+SIZE-1 ,col:col+SIZE-1,:) = img_RGB(min_position,:,:,:);
    end
end

Image_RGB = uint8(Image_RGB);
imwrite(Image_RGB,'0.jpg');

实验结果

素材图片

original pic

After