K-Means Clustering for Image Segregation

Dataset: ------------ https://github.com/SatadruMukherjee/D...​ Code:

clc

clear all

close all

warning off

unzip("Mixed_Dataset.zip",'myfolder');

imds=imageDatastore('Mixed_Dataset');

ms=[];

figure(1);

for i=1:numel(imds.Files)

    img=readimage(imds,i);

    subplot(7,4,i);

    imshow(img);

    set(gcf,'color','c');

    ms=[ms;size(img)];

end

features=[];

figure(2);

for i=1:numel(imds.Files)

    img=readimage(imds,i);

    img=~imbinarize(img);

    area_value=bwarea(img);

    perimeter_value=bwperim(img,8);

    perimeter=nnz(perimeter_value);

    conv_hull=bwconvhull(img);

    convex_hull=sum(sum(conv_hull));

    features=[features;area_value perimeter convex_hull];

    subplot(7,4,i);

    imshow(conv_hull);

    set(gcf,'color','c');

end

features(:,1)=(features(:,1)-min(features(:,1)))/(max(features(:,1))-min(features(:,1)));

features(:,2)=(features(:,2)-min(features(:,2)))/(max(features(:,2))-min(features(:,2)));

features(:,3)=(features(:,3)-min(features(:,3)))/(max(features(:,3))-min(features(:,3)));

indexes=kmeans(features,4,'Replicates',10);

c=1;

s=1;

t=1;

st=1;

for i=1:numel(imds.Files)

    img=readimage(imds,i);

    if(indexes(i)==1)

        figure(3);

        subplot(3,3,c);

        imshow(img);

        set(gcf,'color','c');

        c=c+1;

    elseif(indexes(i)==2)

        figure(4);

        subplot(3,3,s);

        imshow(img);

        set(gcf,'color','c');

        s=s+1;

    elseif(indexes(i)==3)

        figure(5);

        subplot(3,3,t);

        imshow(img);

        set(gcf,'color','c');

        t=t+1;

    else

        figure(6);

        subplot(3,3,st);

        imshow(img);

        set(gcf,'color','c');

        st=st+1;

    end

end

 

 

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