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CLShowClusters.m
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CLShowClusters.m
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function [] = CLShowClusters(pathImage, sizeSubImage, U, localization)
% *************************************************************************
% ExtractSubImgFeatures: show recognized patterns in red on image files
%
% Example: CLShowClusters([pwd, '/images/teste1.png'], 16, U)
%
% Author: Luiz F. S. Coletta ([email protected]) - 30/01/18
% Update: Luiz F. S. Coletta - 07/02/18
% *************************************************************************
fullImage = imread(pathImage);
red = fullImage(:,:,1); % Red channel
green = fullImage(:,:,2); % Green channel
blue = fullImage(:,:,3); % Blue channel
fullImage = cat(3, red, green, blue);
[rows, cols, ~] = size(fullImage);
left = 0;
top = left;
width = sizeSubImage;
height = width;
i = 1;
cluster1 = fullImage;
cluster2 = fullImage;
cluster3 = fullImage;
cluster4 = fullImage;
cluster5 = fullImage;
cluster6 = fullImage;
cluster7 = fullImage;
% . = .
% . = .
% . = .
% if you want...
threshold = 0.8; % for patterns from fuzzy partitions
if (nargin >= 4)
newU = [];
cont = 1;
cont2 = 1;
for j = 1:rows/width
for k = 1:cols/width
if (cont2 > size(localization,1))
pos = -1;
else
pos = localization(cont2, 2);
end
if (pos == cont)
newU = [newU; U(cont2)];
cont2 = cont2 + 1;
else
newU = [newU; -1];
end
cont = cont + 1;
end
end
U = newU;
end
Crisp = [];
if (size(U,2) == 1)
Crisp = U;
end
for j = 1:rows/width % iterate getting subimages from current file (lines)
left = 0;
width = sizeSubImage;
for k = 1:cols/width % iterate getting subimages from current file (columns)
try
if (isempty(Crisp))
if (U(1,i) >= threshold) % adjusting red channel
cluster1(top+1:(top+1+height),left+1:(left+1+width),1) = U(1,i)*(255/1);
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = U(1,i)*(255/1);
end
if (U(2,i) >= threshold) % adjusting green channel
cluster2(top+1:(top+1+height),left+1:(left+1+width),2) = U(2,i)*(255);
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = U(2,i)*(255);
end
if (U(3,i) >= threshold) % adjusting blue channel
cluster3(top+1:(top+1+height),left+1:(left+1+width),3) = U(3,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = U(3,i)*255;
end
if (U(4,i) >= threshold) % adjusting red and green channels
cluster4(top+1:(top+1+height),left+1:(left+1+width),1) = U(4,i)*255;
cluster4(top+1:(top+1+height),left+1:(left+1+width),2) = U(4,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = U(4,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = U(4,i)*255;
end
if (U(5,i) >= threshold) % adjusting red and blue channels
cluster5(top+1:(top+1+height),left+1:(left+1+width),1) = U(5,i)*255;
cluster5(top+1:(top+1+height),left+1:(left+1+width),3) = U(5,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = U(5,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = U(5,i)*255;
end
if (U(6,i) >= threshold) % adjusting green and blue channels
cluster6(top+1:(top+1+height),left+1:(left+1+width),2) = U(6,i)*255;
cluster6(top+1:(top+1+height),left+1:(left+1+width),3) = U(6,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = U(6,i)*255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = U(6,i)*255;
end
else
if (Crisp(i) > -1)
if (Crisp(i) == 1) % adjusting red channel
cluster1(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
end
if (Crisp(i) == 2) % adjusting green channel
cluster2(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
end
if (Crisp(i) == 3) % adjusting blue channel
cluster3(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
end
if (Crisp(i) == 4) % adjusting red and green channels
cluster4(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
cluster4(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
end
if (Crisp(i) == 5) % adjusting red and blue channels
cluster5(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
cluster5(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),1) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
end
if (Crisp(i) == 6) % adjusting green and blue channels
cluster6(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
cluster6(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),2) = 255;
cluster7(top+1:(top+1+height),left+1:(left+1+width),3) = 255;
end
end
end
catch
end
%fullImage(top+1:(top+1+height),left+1:(left+1+width),1) = U(1,i)*255;
%fullImage(top+1:(top+1+height),left+1:(left+1+width),2) = U(2,i)*255;
%fullImage(top+1:(top+1+height),left+1:(left+1+width),3) = U(2,i)*255;
left = left + width + 1;
if (k == 1)
width = width - 1;
end
i = i+1;
end
top = top + height + 1;
if (j == 1)
height = height - 1;
end
end
figure
subplot(2,3,1);
imshow(cluster1);
subplot(2,3,2);
imshow(cluster2);
subplot(2,3,3);
imshow(cluster3);
subplot(2,3,4);
imshow(cluster4);
subplot(2,3,5);
imshow(cluster5);
subplot(2,3,6);
imshow(cluster6);
figure
imshow(cluster7);
end