% /************************************************************************

% * Copyright(c) 2017  ZRJ

% * All rights reserved.

% *

% * File:	isGreen.m

% * Brief: 车号区域颜色信息判断算法

% * Version: 1.0

% * Author: ZRJ

% * Email: happyamyhope@163.com

% * Date:	2017/03/28

% * Reference：

% * History:

% * 20170328：得到ROI的颜色信息;

%

% ************************************************************************/

function  [ ] = isGreen( )

%程序功能：车号区域颜色信息判断算法;

%输入input：

%    roi --  roi color image;

%输出output：

%    flip  --  flip flag;

roi = 'E:\carriage_recognition\train_identification\ROI1095\';

roi_path = [roi,'ROI原图\'];

roi_format = '*.png';

roi_list = dir(strcat(roi_path, roi_format));

roi_num = length(roi_list);%获取图像总数量

for num = 1 : roi_num %逐一读取图像

%     num

    close all

    % HSV颜色信息提取

%     roi_name = roi_list(num).name;% 图像名

%     roi_image =  imread(strcat(roi_path, roi_name));%读取图像

    roi_name = [int2str(num), '_number_ROI.png'];

    roi_image = imread([roi_path, roi_name]);

    %RGB2HSV of ROI

    hsv_f = rgb2hsv(roi_image);

    H = hsv_f(:,:,1)*180;

    S = hsv_f(:,:,2)*255;

    V = hsv_f(:,:,3)*255;

    [y,x,z]=size(roi_image);

    green = 0;

    yellow = 0;

    for i=1:y

        for j=1:x

            if(((H(i,j)>=40)&&(H(i,j)<=75)) && (S(i,j)>=60)&&(S(i,j)<=255) && (V(i,j)>=55)&&(V(i,j)<=255))

                green = green + 1;%绿像素点统计

            elseif(((H(i,j)>=27)&&(H(i,j,1)<=33)) &&(S(i,j)>=60)&&(S(i,j)<=255) && (V(i,j)>=80)&&(V(i,j)<=255))

                yellow = yellow + 1;%黄像素点统计

            end

        end

    end

    ss = x * y;

    ratio_g = green *100/ ss;

    ratio = (green + yellow) *100/ ss;

    flip = 0;

    if( ratio > 0.04 && ratio_g > 0.0004 )

        flip = 1;

    end

    if ( flip )

        bw_name = [roi_name(1: end-4), '_flip'];

        imwrite(roi_image, [roi, 'green\', bw_name,'.png']);

    end

end % end for 

end % end function