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segment.m
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function [OutImage,Z]=segment(InputImage);
% InputImage=imread('Beningn5.jpg');
GrayScaleImage=rgb2gray(InputImage);
NoisyImage=GrayScaleImage;
NoisyImage=double(GrayScaleImage);
[R C P]=size(NoisyImage);
OutImage=zeros(R,C);
Zmin=[];
Zmax=[];
Zmed=[];
for i=1:R
for j=1:C
if (i==1 & j==1)
% for right top corner[8,7,6]
elseif (i==1 & j==C)
% for bottom left corner[2,3,4]
elseif (i==R & j==1)
% for bottom right corner[8,1,2]
elseif (i==R & j==C)
%for top edge[8,7,6,5,4]
elseif (i==1)
% for right edge[2,1,8,7,6]
elseif (i==R)
% // for bottom edge[8,1,2,3,4]
elseif (j==C)
%// for left edge[2,3,4,5,6]
elseif (j==1)
else
SR1 = NoisyImage((i-1),(j-1));
SR2 = NoisyImage((i-1),(j));
SR3 = NoisyImage((i-1),(j+1));
SR4 = NoisyImage((i),(j-1));
SR5 = NoisyImage(i,j);
SR6 = NoisyImage((i),(j+1));
SR7 = NoisyImage((i+1),(j-1));
SR8 = NoisyImage((i+1),(j));
SR9 = NoisyImage((i+1)),((j+1));
TempPixel=[SR1,SR2,SR3,SR4,SR5,SR6,SR7,SR8,SR9];
Zxy=NoisyImage(i,j);
Zmin=min(TempPixel);
Zmax=max(TempPixel);
Zmed=median(TempPixel);
A1 = Zmed - Zmin;
A2 = Zmed - Zmax;
if A1 > 0 && A2 < 0
% go to level B
B1 = Zxy - Zmin;
B2 = Zxy - Zmax;
if B1 > 0 && B2 < 0
PreProcessedImage(i,j)= Zxy;
else
PreProcessedImage(i,j)= Zmed;
end
else
if ((R > 4 && R < R-5) && (C > 4 && C < C-5))
S1 = NoisyImage((i-1),(j-1));
S2 = NoisyImage((i-2),(j-2));
S3 = NoisyImage((i-1),(j));
S4 = NoisyImage((i-2),(j));
S5 = NoisyImage((i-1),(j+1));
S6 = NoisyImage((i-2),(j+2));
S7 = NoisyImage((i),(j-1));
S8 = NoisyImage((i),(j-2));
S9 = NoisyImage(i,j);
S10 = NoisyImage((i),(j+1));
S11 = NoisyImage((i),(j+2));
S12 = NoisyImage((i+1),(j-1));
S13 = NoisyImage((i+2),(j-2));
S14 = NoisyImage((i+1),(j));
S15 = NoisyImage((i+2),(j));
S16 = NoisyImage((i+1)),((j+1));
S17 = NoisyImage((i+2)),((j+2));
TempPixel2=[S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15,S16,S17];
Zmed2=median(TempPixel2);
PreProcessedImage(i,j)= Zmed2;
else
PreProcessedImage(i,j)= Zmed;
end
end
end
end
end
PreProcessedImage3=[]
PreProcessedImage3(:,:,1)=PreProcessedImage;
PreProcessedImage3(:,:,2)=PreProcessedImage;
PreProcessedImage3(:,:,3)=PreProcessedImage;
PreProcessedImage=PreProcessedImage3;
Y=double(PreProcessedImage);
k=2; % k: number of regions
g=2; % g: number of GMM components
beta=1; % beta: unitary vs. pairwise
EM_iter=10; % max num of iterations
MAP_iter=10; % max num of iterations
% fprintf('Performing k-means segmentation\n');
[X,GMM,ShapeTexture]=image_kmeans(Y,k,g);
[X,Y,GMM]=HMRF_EM(X,Y,GMM,k,g,EM_iter,MAP_iter,beta);
Y=Y*80;
Y=uint8(Y);
OutImage=Y;
Z=ShapeTexture;
% imwrite(Y,'sBeningn5.jpg');
% imshow(Y,[]);
% disp('exit');