Klasifikasi pengolahan citra dua objek menggunakan jaringan saraf tiruan

Pengolahan citra menggunakan algoritma jaringan saraf tiruan dengan membandingkan dua objek berdasarkan klasifikasi wanita berjilbab dan tidak berjilbab.


Source Code

imgPath = 'D:\Document\Lecture\Tesis\Data Citra\Klasifikasi\';
imgExt = '*.jpg';
sizeResize = 35;
imageFiles = dir(strcat(imgPath, imgExt));      
countFiles = length(imageFiles);
arrInputColumn = sizeResize * sizeResize;
arrInputRow = 100;
arrInput = zeros(arrInputColumn:arrInputRow);
for i=1:countFiles
    currentFileName = imageFiles(i).name;
    img = imread(strcat(imgPath, currentFileName));
    imgResize = imresize(img, [sizeResize, sizeResize]);   
    imgGray = rgb2gray(imgResize);
    imgEH = histeq(imgGray);
    imgEdge = edge(imgEH, 'canny', 0.2);    
    
    imwrite(imgResize, strcat(imgPath, strcat('preprocessing\resize\', currentFileName)));
    imwrite(imgGray, strcat(imgPath, strcat('preprocessing\grayscale\', currentFileName)));
    imwrite(imgEH, strcat(imgPath, strcat('preprocessing\equaliasihistogram\', currentFileName)));
    imwrite(imgEdge, strcat(imgPath, strcat('preprocessing\edgedetection\', currentFileName)));
    
    imgTranspose1 = reshape(imgEdge.', 1, []);
    imgTranspose2 = imgTranspose1(:);
    arrInput(i, :) = imgTranspose2;
end
input = arrInput.';
countColumn = sizeResize * sizeResize;
inputLatihJilbab = input(1:countColumn, 1:25);
inputLatihNonJilbab = input(1:countColumn, 51:75);
inputLatih = [inputLatihJilbab, inputLatihNonJilbab];

inputTestJilbab = input(1:countColumn, 26:50);
inputTestNonJilbab = input(1:countColumn, 76:100);
inputTest = [inputTestJilbab, inputTestNonJilbab];

target1 = zeros(1:2);
target2 = zeros(1:2);
countRowTarget = 25;
for(j=1:countRowTarget)
    target1(j) = 1;
    target2(j) = 0;
end
targetLatih = [target1, target2];
targetTest = [target1, target2];