Added matlab binarization file
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26
binarization/binarizer.m
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26
binarization/binarizer.m
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function out_im = binarizer(in_im, v, h)
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%This programs splits an image into 'v' blocks in vertical direction
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% and into 'h' blocks in horizontal direction. All the bloacks are equal.
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[x, y] = size(in_im); %size of the input image
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out_im = []; %output image
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for ii = 1:(v)
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temp = [];
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ranx = ((ii-1)*ceil(x/v)+1):(ii*ceil(x/v)); %horizontal range
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if ii == v
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ranx = (((ii-1)*ceil(x/v)+1):x);
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end
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for jj = 1:(h)
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rany = ((jj-1)*ceil(y/h)+1):(jj*ceil(y/h)); %horizontal range
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if jj == h
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rany = (((jj-1)*ceil(y/h)+1):y);
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end
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t = graythresh(in_im(ranx,rany));
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temp = cat(2,temp,imbinarize(in_im(ranx,rany),t));
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end
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out_im = cat(1,out_im,temp);
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end
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end
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82
binarization/main.m
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82
binarization/main.m
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clear
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close all
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clc
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format compact
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%Loading 1st image
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im = imread('rice.tif');
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t = graythresh(im); %threshold for binarize
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[m, n] = imhist(im); %we need 'm' for threshold marker on the histogram
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figure
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subplot(1,2,1); imshow(im)
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title('Original image')
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subplot(1,2,2); imhist(im)
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line([round(255*t), round(255*t)], [0, max(m)], 'Color', 'r', 'LineWidth', 1) %threshold marker
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title({'Image histogram', ['Red line - threshold (', num2str(t * 255, 3),')']})
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%binarizing image
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im_bin = imbinarize(im, t);
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figure
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subplot(1,2,1); imshow(im_bin)
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title('Whole image binarization')
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%amount of blocks
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vert = 1; %vertical amount
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hor = 10; %horizontal amount
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%binarizing using blocks
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im_bin_block = binarizer(im, vert, hor);
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subplot(1,2,2); imshow(im_bin_block)
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title({['Block binarization: '], [num2str(vert),' x ',num2str(hor),' blocks']})
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%loading 2nd image
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%amount of blocks
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vert = 10; %vertical amount
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hor = 1; %horizontal amount
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im2 = imread('figure.png');
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t = graythresh(im2); %threshold for binarize
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im2_bin = imbinarize(im2, t);
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im2_bin_block = binarizer(im2, vert, hor);
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[m, ~] = imhist(im2); %we need 'm' for threshold marker on the histogram
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figure
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subplot(1,2,1); imshow(im2)
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title('Original image')
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subplot(1,2,2); imhist(im2)
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line([round(255*t), round(255*t)], [0, max(m)], 'Color', 'r', 'LineWidth',...
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1)
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title({'Image histogram', ['Red line - threshold (',num2str(t*255, 3),')']})
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figure
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subplot(1,2,1); imshow(im2_bin)
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title('Whole image binarization')
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subplot(1,2,2); imshow(im2_bin_block)
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title({['Block binarization: '],[num2str(vert),' x ',num2str(hor),' blocks']})
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%trying to increase contrast
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im3 = imadjust(im2,[],[],0.5);
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t = graythresh(im3); %threshold for binarize
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im3_bin = imbinarize(im3, t);
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im3_bin_block = binarizer(im3, 10, 10);
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[m,n] = imhist(im3); %we need 'm' for threshold marker on the histogram
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figure
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subplot(1,2,1); imshow(im3)
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title('Increased contrast')
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subplot(1,2,2); imhist(im3)
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line([round(255*t), round(255*t)], [0, max(m)], 'Color', 'r', 'LineWidth',...
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1)
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title({'Image histogram', ['Red line - threshold (', num2str(round(255*t)),')']})
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figure
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subplot(1,2,1); imshow(im3_bin)
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title('Whole image binarization')
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subplot(1,2,2); imshow(im3_bin_block)
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title({['Block binarization: '],[num2str(vert),' x ',num2str(hor),' blocks']})
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