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1、%%%%%%求对比度%%%%%%clear;clc;[filename,pathname]=uigetfile({'*jpg;*.bmp;*.jpeg'},'load?image');fpath=fullfile(pathname,filename);A=imread(fpath);figure(1);imshow(A);title('原图像')img=rgb2gray(A);figure(2);imshow(img);title('灰度后的');img1=imnoise(img,'salt&pepper',0.05);%加入椒盐躁声figure(3);imshow(img1);titl
2、e('椒盐后的图像');%%%K近邻域滤椒盐噪声%%%3*3%%%找出与f（i，j）相近的像素值这里利用做差排序找出AAAA1=img1;AAAA1=double(AAAA1);%%%得到椒盐噪声图像[m,n]=size(AAAA1);fori=2:m-1forj=2:n-1ASD1=[AAAA1(i-1,j-1)AAAA1(i-1,j)AAAA1(i-1,j+1)...AAAA1(i,j-1)AAAA1(i,j)AAAA1(i,j+1)...AAAA1(i+1,j-1)AAAA1(i+1,j)AAAA1(i+1,j+1)];aa=ASD1;%%随机设定的一个数组b=AAAA1(i,j)
3、;%%取参照值a=aa(:);%%将给定数组化为一维的ab=(a(:)-b)';%%将数组a与b做差abc=abs(ab);abc=sort(abc);%%差值取绝对值并排序[as1as11]=find(abs((a(:)-b))==abc(1,1));as=[as1as11];if~isempty(abc(abc(:)~=abc(1,1)))if~isempty(abc)abc1=abc(abc(:)~=abc(1,1));[as2as22]=find(abs((a(:)-b))==abc1(1,1));as=[as1as11;as2as22];endendif~isempty(abc
4、1(abc1(:)~=abc1(1,1)))if~isempty(abc1)abc2=abc1(abc1(:)~=abc1(1,1));[as3as33]=find(abs((a(:)-b))==abc2(1,1));as=[as1as11;as2as22;as3as33];endendif~isempty(abc2(abc2(:)~=abc2(1,1)))if~isempty(abc2)abc3=abc2(abc2(:)~=abc2(1,1));[as4as44]=find(abs((a(:)-b))==abc3(1,1));as=[as1as11;as2as22;as3as33;as
5、4as44];endendif~isempty(abc3(abc3(:)~=abc3(1,1)))if~isempty(abc3)abc4=abc3(abc3(:)~=abc3(1,1));[as5as55]=find(abs((a(:)-b))==abc4(1,1));as=[as1as11;as2as22;as3as33;as4as44;as5as55];endendif~isempty(abc4(abc4(:)~=abc4(1,1)))if~isempty(abc4)abc5=abc4(abc4(:)~=abc4(1,1));[as6as66]=find(abs((a(:)-b))
6、==abc5(1,1));as=[as1as11;as2as22;as3as33;as4as44;as5as55;as6as66];endend%%%%as即是与b值相近的值的坐标包括和b相等的（这里是与b值相差为六种值的情况不一定是六个值可能等于也可能大于%%%%将以下坐标的值取第二个到第六个即是与b值相近的5个）result=zeros(1,(length(as)-1));forVB=2:6result(VB-1)=a(as(VB,1));end%%%求前五个的均值AVERAGE=sum(result(:))/5;AAAA1(i,j)=AVERAGE;endendfigure(9)i
7、mshow(uint8(AAAA1));title('K近邻域滤椒盐噪声后的图像');clear;clc;I_gray=...[15255225100200255200;...1725422510010109;...3710100100296;...3610109282;...21889342;...10788321;...11887221;...23987220];%%%%%A可以是矩阵也可以是图像[height,width]=s
