Semester assignments for the course "Digital Image Processing" of THMMY in AUTH university.
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function myAffinityMat = Image2Graph (imIn)
%Image2Graph produces a graph, in the form of a matrix, from an image
% Usage myAffinityMat = Image2Graph (imIn), where:
% Inputs
% - imIn is the input image
% Output
% - myAffinityMat is the graph produced
imageWidth = size(imIn, 2);
imageHeight = size(imIn, 1);
imageChannels = size(imIn, 3);
%myAffinityMat = 1 / exp(norm(imIn(:, :)));
myAffinityMat = zeros(imageWidth * imageHeight, imageWidth * imageHeight);
for row = 1:imageHeight
for column = 1:imageWidth
diff = imIn - imIn(row, column, :);
%diffT = permute(diff, [2 1 3]);
dist = sum(diff .^ 2, 3) .^ 0.5;
% dist = zeros(imageWidth, imageHeight);
% for channel = 1:imageChannels
% dist = dist + sqrt(sum (diff(:, :, channel) * diffT(:, :, channel)));
% dist = dist + sqrt(diff(:, :, channel) * diffT(:, :, channel));
% end
som = 1 ./ exp(dist);
som2 = reshape(som, 1, []);
som2 = reshape(som.', 1, []);
myAffinityMat((row - 1) * imageWidth + column, :) = reshape((1 ./ exp(dist), 1, []);
end
end
end