├── .gitignore ├── LICENSE ├── SU1 - github.m ├── 原图像 ├── 1.jpg ├── 2.bmp ├── 2.jpg ├── 3.bmp ├── 4.bmp ├── 5.bmp ├── 6.jpg └── 7.tif └── 处理后图像 ├── 1.png ├── 2.png ├── 3.png ├── 4.png ├── 5.png ├── 6.png └── 7.png /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | applet 3 | application.linux32 4 | application.linux64 5 | application.windows32 6 | application.windows64 7 | application.macosx 8 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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-------------------------------------------------------------------------------- 1 | cd('···'); %更改当前工作区至包含图片的文件夹处 2 | 3 | clear; 4 | SE1 = [0,1;0,1]; 5 | SE2 = [1,1;1,1]; 6 | BW1=imread('1.jpg'); 7 | figure(1), 8 | subplot(2,2,1);imshow(BW1);title('原图像'); 9 | BW11=rgb2gray(BW1); 10 | BW2=edge(BW11,'roberts',0.18,'both'); 11 | subplot(2,2,2);imshow(BW2);title('边缘化处理图像（roberts算子）'); 12 | BW3=imerode(BW2,SE1); 13 | subplot(2,2,3);imshow(BW3);title('腐蚀图像'); 14 | BW4=imdilate(BW3,SE2); 15 | subplot(2,2,4);imshow(BW4);title('膨胀图像'); 16 | 17 | 18 | clear; 19 | img=imread('2.bmp'); 20 | f=rgb2gray(img); 21 | figure(2), 22 | subplot(1,2,1); 23 | imshow(f); title('原图像（高斯模糊）'); 24 | f=double(f); 25 | f=fft2(f); 26 | f=fftshift(f); 27 | [m,n]=size(f); % 28 | d0=20; 29 | m1=fix(m/2); 30 | n1=fix(n/2); 31 | for i=1:m 32 | for j=1:n 33 | d=sqrt((i-m1)^2+(j-n1)^2); 34 | h(i,j)=exp(-d^2/2/d0^2); 35 | end 36 | end 37 | g=f.*h; 38 | g=ifftshift(g); 39 | g=ifft2(g); 40 | g=mat2gray(real(g)); 41 | subplot(1,2,2); 42 | imshow(g);title('去模糊图像（高斯平滑滤波）'); 43 | imwrite(img,'2.jpg'); 44 | 45 | 46 | img= imread('3.bmp'); 47 | I = rgb2gray(img); 48 | K = medfilt2(I);%采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 49 | figure(3), 50 | subplot(1,2,1);imshow(I); 51 | title('原图像（椒盐噪声）'); 52 | subplot(1,2,2);imshow(K); 53 | title('去模糊图像（中值滤波）'); 54 | 55 | 56 | 57 | clear 58 | rgb=imread('4.bmp'); 59 | % 对RGB每个通道进行histeq处理 60 | r=rgb(:,:,1); 61 | g=rgb(:,:,2); 62 | b=rgb(:,:,3); 63 | R=histeq(r); 64 | G=histeq(g); 65 | B=histeq(b); 66 | result_rgb=cat(3,R,G,B); 67 | % 结果显示 68 | figure(4), 69 | subplot(1,2,1),imshow(rgb),title('原图像（雾）') 70 | subplot(1,2,2),imshow(result_rgb),title('去模糊图像（histeq:直方图均衡化）：') 71 | 72 | 73 | H=imread('5.bmp');%读取图像　　　 74 | I=rgb2gray(H);%将彩色图像转换为灰度图像 75 | figure(5), 76 | subplot(2,2,1); 77 | imshow(I);%显示图像　　 78 | title('原图像（需图像增强）'); 79 | subplot(2,2,3); 80 | imhist(I);%绘制图像的灰度直方图　　　 81 | title('原图的灰度直方图'); 82 | axis('auto'); 83 | subplot(2,2,2); 84 | J=histeq(I,64);%对图像进行均衡化处理，返回有64级灰度的图像J　　　 85 | imshow(J);%显示图像　　　 86 | title('去模糊图像（直方图均衡化）'); 87 | subplot(2,2,4); 88 | imhist(J);%绘制图像的灰度直方图　　 89 | title('均衡后的灰度直方图'); 90 | 91 | 92 | Image=imread('6.jpg'); 93 | [M,N,nDims]=size(Image); 94 | Image=im2double(Image);% 获取图像的尺寸和波段数 95 | ImageStretch=Image; 96 | for i=1:nDims % 对每个波段依次进行灰度拉伸 97 | Sp=Image(:,:,i); 98 | MaxDN=max(max(Sp)); 99 | MinDN=min(min(Sp)); 100 | Sp=(Sp-MinDN)/(MaxDN-MinDN); % 灰度拉伸公式 101 | ImageStretch(:,:,i)=Sp; 102 | end 103 | figure(6), 104 | subplot(1,2,1),imshow(Image);title('原图像（需对比度拉伸）'); 105 | subplot(1,2,2),imshow(ImageStretch);title('去模糊图像（灰度拉伸）'); 106 | 107 | 108 | I = im2double(imread('7.tif')); 109 | figure(7), 110 | subplot(1,2,1),imshow(I); 111 | title('原图像（运动模糊）'); 112 | LEN = 8; 113 | THETA = 0; 114 | PSF = fspecial('motion', LEN, THETA); 115 | wnr1 = deconvwnr(I, PSF, 0); 116 | subplot(1,2,2),imshow(wnr1); 117 | title('去模糊图像（维纳滤波）') 118 | 119 | 120 | 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