Semester assignments for the course "Digital Image Processing" of THMMY in AUTH university.
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clear
clear all
% For reproducibility
rng(1);
load('dip_hw_2.mat');
%% Produces the affinity graphs for both images
graph1 = Image2Graph(d2a);
graph2 = Image2Graph(d2b);
%% Executes recursive experiments for the first image
figure();
imshow(d2a);
clusters = myNCuts(graph1, 2);
NCut1 = calculateNcut(graph1, clusters);
clusters = clusters - 1;
clusters = reshape(clusters, size(d2a, 1), []);
figure();
imshow(clusters);
%% Executes recursive experiments for the second image
figure();
imshow(d2b);
clusters = myNCuts(graph2, 2);
NCut2 = calculateNcut(graph2, clusters);
figure();
imshow(meanClustersColorRGB(d2b, reshape(clusters, size(d2b, 1), [])));
clusters = clusters - 1;
clusters = reshape(clusters, size(d2a, 1), []);
figure();
imshow(clusters);