Segmentation processing of MATLAB image processing

fabric = imread('fabric.png');% read image
figure; subplot(121); imshow(fabric), %display
title('fabric');
load regioncoordinates;%download color region coordinates to work space
nColors = 6 ;
sample_regions = false([size(fabric,1) size(fabric,2) nColors]);
for count = 1:nColors
sample_regions(:,:,count) = roipoly(fabric,…
region_coordinates(:,1,count) ,…
Region_coordinates(:,2,count));% select the sample area of ​​each small color
end
subplot(122),
imshow(sample_regions(:,:,2));% show the sample of the red area
title('sample region for red');
cform = makecform('srgb2lab'); %rgb space is converted to L a b space structure
lab_fabric = applycform(fabric, cform); %rgb space is converted to L a b space
a = lab_fabric(:,:,2); b = lab_fabric(:,:,3);
color_markers = repmat(0, [nColors, 2]);% initialize the color average
for count = 1:nColors
color_markers(count,1 )= mean2(a(sample_regions(:,:,count)));%a mean
color_markers(count,2) = mean2(b(sample_regions(:,:,count)));%b mean
end
disp(sprintf( '[%0.3f,%0.3f]',color_markers(2,1),...
color_markers(2,2)));% shows the mean value of the red component sample
color_labels = 0:nColors-1;
a = double(a) ; b = double(b);
distance = repmat(0,[size(a), nColors]);% initialize distance matrix
for count = 1:nColors
distance(:,:,count) = ((a-color_markers(count ,1)).^2 +…
(b-color_markers(count,2)).^2 ).^0.5;% Calculate the distance to various colors
end
[value, label] = min(distance,[],3 );% Find the color of the minimum distance
label = color_labels(label);
clear value distance;
rgb_label = repmat(label,[1 1 3]);
segmented_images = repmat(uint8(0),[size(fabric), nColors]);
for count = 1:nColors
color = fabric;
color(rgb_label ~= color_labels(count)) = 0;% pixels that are not label colors are set to 0
segmented_images(:,:,:,count) = color;
end
figure;
imshow(segmented_images(:,:,:, 1)),% show background
title('background'); figure;
imshow(segmented_images(:,:,:,2)),% show red target
title('red objects'); figure;
imshow(segmented_images(:, :,:,3)), %Display the green target
title('green objects'); figure,
imshow(segmented_images(:,:,:,4)), %Display the purple target
title('purple objects'); figure,
imshow(segmented_images(:,:,:,5)), %display
magenta target title('magenta objects'); figure,
imshow(segmented_images(:,:,:,6)), %display yellow target
title(' yellow objects');
purple = [119/255 73/255 152/255];
plot_labels = {'k','r','g', purple,'m','y'};
figure
for count = 1 :nColors
plot(a(labelcount-1),b(labelcount-1),'.','MarkerEdgeColor',… plot_labels{count},'MarkerFaceColor',…
plot_labels{count});% display a scatter plot of various colors
hold on;
end
title('Scatterplot of the segmented pixels in''a b '' space');
xlabel('''a*'' values'); ylabel('''b*'' values');