create_templates_perso2.asv

% CREATE TEMPLATES Machine Learning
% CAUTION:
% We must open an image with models in a specific order:
% First the numbers '0 'to '9' and the letters MAJUSQULES from 'A' to 'Z'. And lowercase letters 'a' to 'z'
% Dim templates must be equal to [42, 24 * 62] = [42, 1488]
%%
% Clear all
clc, close all, clear all
% Read image LOAD AN IMAGE
%%%[filename, pathname] = uigetfile('*','LOAD AN Image');
%Storage matrix character from image
character=[];
for j=1:1071
    
    for i=1:62
        modele=imread(strcat('D:\DSAA_HW_and_Assigns\DsaaProject\dataset\Sample',num2str(i),'\',num2str(i-1),' (',num2str(j),').png'));
        %%%modele=imread(fullfile(pathname, filename));
        % Convert to gray scale
        if size(modele,3)==3 %RGB image
            modele=rgb2gray(modele);
        end
        % Convert to BW
        threshold = graythresh(modele);
        modele =~im2bw(modele,threshold);
        % Remove all object containing fewer than 100 pixels
        modele = bwareaopen(modele,100);%Change the value if the dimension of templates are bad
        re=modele;
        %Storage matrix interchar from the space between two characters 
        interchar=[];
        %Storage matrix from the width of a letter
        largeur=[];
        %%%while 1
            %Fcn 'lines' separate lines in text
        %%%[fl, re]=lines(re);
        [f c]=find(re);
        re2=re(min(f):max(f),min(c):max(c));%Crops image
        %Uncomment line below to see lines one by one
        %imshow(fl);pause(0.5)    
        % Resize letter (size of template)
        img_r=imresize(re2,[42 24]);
        %-------------------------------------------------------------------
        % character concatenation
        %%%imshow(img_r)
        character=[character img_r];
    end
       %%%save ('templates','templates')
end
x=[];
for k=1:(62*1071)
    x=[x 24];
end
templates=mat2cell(character,42,x);
save('templates','templates');
%clear all
%clear all;