PS 滤镜算法原理——染色玻璃

%%%% 完成PS 中的染色玻璃滤镜特效

clc;

clear all;

close all;



Image=imread('4.jpg');

Image=double(Image);



Gray_Image=rgb2gray(Image/255);

[row,col]=size(Gray_Image);

S_filter=fspecial('sobel');

G=sqrt(imfilter(Gray_Image, S_filter, 'replicate').^2+...

       imfilter(Gray_Image, S_filter, 'replicate').^2);

   

% % % % 利用形态学细化分割图像

%%%% 形态学中的结构算子的大小，决定了分割的块的大小

Block_Size=8;

G2=imclose(imopen(G,ones(Block_Size,Block_Size)), ones(Block_Size,Block_Size));

L=watershed(G2);

wr=L==0;

figure, imshow(wr);



Label_num=bwlabel(1-wr,4);

%%% figure, imshow(Label_num);



length=max(Label_num(:));

Color_array(1:length,1:3)=1000;



for i=1:row

    for j=1:col

        Num=Label_num(i,j);

        if(Num==0)

            Image(i,j,1)=255;

            Image(i,j,2)=255;

            Image(i,j,3)=255;

        else

            if(Color_array(Num,1)==1000)

                 Color_array(Num,1)=Image(i,j,1);

                 Color_array(Num,2)=Image(i,j,2);

                 Color_array(Num,3)=Image(i,j,3);

            else

                Image(i,j,1)=Color_array(Num,1);

                Image(i,j,2)=Color_array(Num,2);

                Image(i,j,3)=Color_array(Num,3);

            end

        end

    end

end



G_filter=fspecial('gaussian',6,0.5);

G_image=imfilter(Image, G_filter);

L_filter=[-1 -1 -1; -1 9 -1; -1 -1 -1];

Image=imfilter(G_image, L_filter);

figure, imshow(Image/255);

原图：

效果图：