possibilitydistribution.m

一个用matlab实现的基于图像灰度概率分布的图像模糊增强算法

function d = directory(v)
%求出当前路径上的所有文件列表
v='IM2';
d(1).name = '.';
counter = max(size(d));
dire = dir(v);
temp = size(dire,1);
for loop = 1:temp
    if dire(loop).isdir == 0
        counter = counter+1;
        d(counter).name = fullfile(v,dire(loop).name);  
    end
    if strcmp(dire(loop).name,'.') == 0&strcmp(dire(loop).name,'..') == 0&dire(loop).isdir == 1
        I = directory(fullfile(v,dire(loop).name));
        ma = max(size(d));
        for ii = 2:max(size(I));
            ma = ma+1;
            d(ma).name = I(ii).name;
        end
    end
end
for num=2:counter
    im=imread(d(num).name);
    im=double(im);
    mean=mean2(im);
    [m,n]=size(im);
    maxGray=max(im(:));
    minGray=min(im(:));
    b1=(minGray+mean)/2;
    b2=(maxGray+mean)/2;
    for x=1:m
        for y=1:n
            if im(x,y)>=minGray & im(x,y)<b1
                FuzzyData(x,y)=2*(((im(x,y)-minGray)/(mean-minGray))^2);
                im(x,y)=im(x,y)*(FuzzyData(x,y)^2);
            elseif im(x,y)>=b1 & im(x,y)<mean
                FuzzyData(x,y)=1-(2*(((im(x,y)-mean)/(mean-minGray))^2));
                im(x,y)=im(x,y)*(FuzzyData(x,y)^2);
            elseif im(x,y)>=mean & im(x,y)<b2
                FuzzyData(x,y)=1-2*(((im(x,y)-mean)/(maxGray-mean))^2);
                im(x,y)=im(x,y)*(FuzzyData(x,y)^2);
            elseif im(x,y)>=b2 & im(x,y)<maxGray
                FuzzyData(x,y)=2*(((im(x,y)-mean)/(maxGray-mean))^2);
                im(x,y)=im(x,y)*(FuzzyData(x,y)^2);
            end
        end
    end
    f=fullfile('F:\ExperimentResult\IM2Result1',d(num).name);
    csvwrite(f,im);
end
%csvread