基于matlab自适应形态学之图像去噪

mutougeda

一、简介
数字图像在进行数学形态滤波去噪时，根据噪声特点可以尝试采用维数由小到大的结构元素来进行处理，进而达到滤除不同噪声的目的。采用数学形态学的多结构元素，可以更多地保持数字图像的几何特征.


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• %% Figure 1
• A = double(imread('retina.png'));
• A = A(:,:,2);
• x1=361;y1=493;
• x2=289;y2=207;
• Z1 = GAN(A,18,y1,x1,'CLIP');
• Z2 = GAN(A,18,y2,x2,'CLIP');
• Z = Z1+Z2;
• figure
• subplot(121);
• hold on;
• imshow(A,[]);
• plot(x1,y1,'w*');title('points (x_1,y_1) and (x_2,y_2)')
• plot(x2,y2,'w*');
• subplot(122);
• imshow(max(A,255*Z),[]);title('GANs of (x_1,y_1) and (x_2,y_2)')
• %% Figure 2
• A = double(imread('lena256.jpg'));
• se = strel('disk',2);
• A_dilation = imdilate(A,se);
• A_erosion = imerode(A,se);
• mtol = 20;
• A_GANdilation = GANdilation(A,A,mtol,'CLIP');
• A_GANerosion = GANerosion(A,A,mtol,'CLIP');
• figure
• subplot(231);imshow(A,[]);title('original');
• subplot(232);imshow(A_dilation,[]);title('classical dilation');
• subplot(233);imshow(A_erosion,[]);title('classical erosion');
• subplot(235);imshow(A_GANdilation,[]);title('GAN dilation');
• subplot(236);imshow(A_GANerosion,[]);title('GAN erosion');
• %% Figure 3
• A = double(imread('vaisseaux3.png'));
• C = floor(imContrasteLIP(A));
• B_CLIP = toggleContrastCLIP(A,5);
• B_LIP = GANtoggleContrastLIP(A,255-C,30);
• figure
• subplot(221);imshow(A,[]);title('original');
• subplot(222);imshow(C,[]);title('LIP contrast');
• subplot(223);imshow(B_CLIP,[]);title('classical toggle contrast');
• subplot(224);imshow(B_LIP,[]);title('GAN toggle contrast');
• %% Figure 4
• A = double(imread('lena256.jpg'));
• Anoisy = double(uint8(255*imnoise(A/255,'salt & pepper',0.02)));
• fun = @(x) median(x(：));
• B = nlfilter(Anoisy,[3 3],fun);
• C = GANmedian(Anoisy,Anoisy,20,'CLIP');
• D = ZGANmedian(Anoisy,Anoisy,20,'CLIP',4);
• figure
• subplot(231);imshow(A,[]);title('noise free'); title('original');
• subplot(232);imshow(Anoisy,[]);title('noisy');title('noisy');
• subplot(234);imshow(B,[]);title('classical median');title('classical median');
• subplot(235);imshow(C,[]);title('GAN median');title('GAN median');
• subplot(236);imshow(D,[]);title('Z-GAN median');title('Z-GAN median');
• 
  

   

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三、运行结果
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采用数学形态学的多结构元素