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Task1.m
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Task1.m
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function Task1()
function [faceModel] = getFaceModel1() % face1 use YUV model
img = imread('face1.1.jpg'); % read file
ycbcr = rgb2ycbcr(img); % RGB -> YUV
cb = ycbcr(:,:,2); % U space
cr = ycbcr(:,:,3); % V space
faceModel1=[max(max(cb)), min(min(cb)),max(max(cr)), min(min(cr))]; % get threshold for U and V space
img = imread('face1.2.jpg'); % get another image
ycbcr = rgb2ycbcr(img);
cb = ycbcr(:,:,2);
cr = ycbcr(:,:,3);
faceModel2=[max(max(cb)), min(min(cb)),max(max(cr)), min(min(cr))]; % get threshold for U and V space
faceModel_max = max(faceModel1,faceModel2); % compare two threshold
faceModel_min = min(faceModel1,faceModel2);
faceModel=[faceModel_max(1),faceModel_min(2),faceModel_max(3),faceModel_min(4)]; % upload new threshold
end
function [faceModel] = getFaceModel2() % face2 use HSV model
img = imread('face2.1.jpg'); % read file
hsv = rgb2hsv(img); % RGB -> HSV
H = hsv(:,:,1); % H space
S = hsv(:,:,2); % S space
faceModel=[max(max(H)), min(min(H)),max(max(S)), min(min(S))]; % get threshold for H and S space
end
function binarizedFaceImage = getBinarizedFaceImage1(testImage,faceModel)
img = imread(testImage); % read test file
binarizedFaceImage = rgb2gray(img); % convert to grayscale image
ycbcr = rgb2ycbcr(img); % get YUV
cb = ycbcr(:,:,2); % get U space
cr = ycbcr(:,:,3); % get V space
[m, n] = size(binarizedFaceImage); % size of the grayscale image
for m1 = 1:m
for n1 = 1:n
if((cb(m1,n1) <= faceModel(1) && cb(m1,n1)>= faceModel(2))&&(cr(m1,n1) <= faceModel(3) && cr(m1,n1)>= faceModel(4)))
binarizedFaceImage(m1,n1) = 255; % set to 255 if the value within the threshold
else
binarizedFaceImage(m1,n1) = 0;
end
end
end
end
function binarizedFaceImage = getBinarizedFaceImage2(testImage,faceModel)
img = imread(testImage); % read test file
binarizedFaceImage = rgb2gray(img); % convert to grayscale image
HSV = rgb2hsv(img); % get HSV
H = HSV(:,:,1); % get H space
S = HSV(:,:,2); % get S space
[m, n] = size(binarizedFaceImage); % size of the grayscale image
for m1 = 1:m
for n1 = 1:n
if((H(m1,n1) <= faceModel(1) && H(m1,n1)>= faceModel(2))&&(S(m1,n1) <= faceModel(3) && S(m1,n1)>= faceModel(4)))
binarizedFaceImage(m1,n1) = 255; % set to 255 if the value within the threshold
else
binarizedFaceImage(m1,n1) = 0;
end
end
end
end
function FinalFaceImage=getMorphFace(binarizedFaceImage)
%FinalFaceImage = bwmorph(binarizedFaceImage,'open');
%FinalFaceImage = bwmorph(FinalFaceImage,'close');
se=strel('square',4); %Morphological structural element
FinalFaceImage=imopen(binarizedFaceImage,se); % Morphological opening.
FinalFaceImage=imclose(FinalFaceImage,se); %Morphological closing
end
function task1main()
faceModel1 = getFaceModel1(); % get threshold
faceModel2 = getFaceModel2();
binarizedFaceImage1 = getBinarizedFaceImage1('face1.jpg',faceModel1); % test face1
binarizedFaceImage2 = getBinarizedFaceImage2('face2.jpg',faceModel2); % tese face2
FinalFaceImage1=getMorphFace(binarizedFaceImage1); % morphological operation
FinalFaceImage2=getMorphFace(binarizedFaceImage2); % morphological operation
figure('name','The first iamage');
subplot(1,2,1);imshow(binarizedFaceImage1);
title('Binarized Face Image');
subplot(1,2,2);imshow(FinalFaceImage1);
title('Final Face Image');
figure('name','The second iamage');
subplot(1,2,1);imshow(binarizedFaceImage2);
title('Binarized Face Image');
subplot(1,2,2);imshow(FinalFaceImage2);
title('Final Face Image');
end
task1main();
end