%% Test out the possibily of creating color gaussians that will be applied 
% on inpout image. Color is class-dependent and intensity length-dependent.
% white - white space
% black - text
% red - stamps
% green - tables
% blue - signatures
% Also - the window width and height is equal to average w&h from database

clc
close all
clear all

% load image
input.image = im2double(imread('../database/signed_docs/10.jpg'));
[input.w, input.h, ~] = size(input.image); 

% window size
window.w = 100;
window.h = 100;

% step == half of window's size?
step.w = window.w / 2;
step.h = window.h / 2;

% std
sigma = 25;

% create gaussian mask
mask.gs = fspecial('gaussian', [window.h window.w], sigma);
mask.gs = mask.gs ./ max(mask.gs(:));
 
% create color masks
mask.white = ones(window.h, window.w, 3);
mask.black = zeros(window.h, window.w, 3);
mask.red = cat(3, ones(window.h, window.w), zeros(window.h, window.w),...
    zeros(window.h, window.w));
mask.green = cat(3, zeros(window.h, window.w), ones(window.h, window.w),...
    zeros(window.h, window.w));
mask.blue = cat(3, zeros(window.h, window.w), zeros(window.h, window.w),...
    ones(window.h, window.w));

fn = fieldnames(mask);

%loop through image and apply mask randomly
for i = 1 : step.h : input.h - window.h-step.h
    for j = 1 : step.w : input.w - window.w-step.w
        
        % extract part of the image
        window.current = input.image(i : i + window.h - 1, j : j + window.w - 1, :);
        
        % apply mask randomly
        color = round(rand(1) * 5) + 1;
        mask.current = mask.(fn{color});
        
        % apply
        
        
    end
end