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  1. POMale/Female Classification with Matlab- About Finding Mean Image
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    <p>I am working on a project which is about pattern (male/female)classification with matlab.I have a problem, I need your help, please.</p> <p>My program should find mean images of datasets. First dataset is women,second dataset is men. So first mean image has to look like a woman and second a man.I have different datasets which all have format of jpeg. I am trying different datasets for my program to check if it is working but when I use different datasets I can not see true mean images all the time, for ex:</p> <p>They are mean images from a dataset:</p> <p><img src="https://i.stack.imgur.com/qo2KZ.jpg" alt="enter image description here"></p> <p>But when I use another dataset my mean images are like this, they have no meanings, I mean they dont look like face:</p> <p><img src="https://i.stack.imgur.com/FdCj8.jpg" alt="enter image description here"></p> <p>What can be the reason for this? I should work with different datasets. Please help. `</p> <pre><code>filenamesA = dir(fullfile(pathfora, '*.jpg')); Train_NumberA = numel(filenamesA); %%%%%%%%%%%%%%%%%%%% Finding Image Vectors for A imagesA= []; for k = 1 : Train_NumberA str = int2str(k); str= strcat(str); str = strcat('\',str,'b','.jpg'); str = strcat(pathfora,str); imgA = imread(str); imgA = rgb2gray(imgA); [irowA icolA] = size(imgA); tempA = reshape(imgA',irowA*icolA,1); % Reshaping 2D images into 1D image vectors imagesA = [imagesA tempA]; % 'imagesA' grows after each turn imagesA=double(imagesA); end` `%%%%%%%%%%%%%%%%%%%%%%%% Calculate the MEAN IMAGE VECTOR for A mean_vectorA= mean(imagesA,2); % Computing the average vector m = (1/P)*sum(Tj's) (j = 1 : P) mean_imageA= reshape(mean_vectorA,irowA,icolA); % Average matrix of training set A meanimgA=mat2gray(mean_imageA); figure(1); imshow(rot90(meanimgA,3));` -------------------------------------And same for dataset B (male) </code></pre>
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