we are first transforming the input image into YCbCr format and then dividing it into 16*16 blocks.So can we apply the above LBP algorithm to find the LBPcode of each block
how to divide an image into 16x16 non overlapping blocks
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Navya George
on 28 Jan 2017
Commented: Walter Roberson
on 16 Aug 2022
how to divide an image into 16x16 non overlapping blocks for finding the local binary pattern in the further steps
Accepted Answer
John Chilleri
on 28 Jan 2017
Edited: John Chilleri
on 28 Jan 2017
Hello,
Assuming your image has size m x n where m and n are multiples of 16:
YourImage = im2double(YourImage);
[m,n] = size(YourImage);
Blocks = cell(m/16,n/16);
counti = 0;
for i = 1:16:m-15
counti = counti + 1;
countj = 0;
for j = 1:16:n-15
countj = countj + 1;
Blocks{counti,countj} = YourImage(i:i+15,j:j+15);
end
end
You can access the blocks by calling Blocks{i,j}.
Hope this helps!
9 Comments
Walter Roberson
on 16 Aug 2022
img = imresize(imread('flamingos.jpg'), [256 256]);
[rows, cols, panes] = size(img);
rb = rows/16; cb = cols/16;
tiledlayout(rb, cb, 'tilespacing', 'tight');
blockproc(img, [16 16], @dispblock);
function h = dispblock(block_struct)
nexttile();
image(block_struct.data);
axis off
%block_struct.location, hh
h = [];
end
More Answers (1)
Image Analyst
on 28 Jan 2017
Edited: Image Analyst
on 28 Jan 2017
This is a FAQ. See a couple of different ways to do this in the FAQ document: http://matlab.wikia.com/wiki/FAQ#How_do_I_split_an_image_into_non-overlapping_blocks.3F
See my attached demo for LBP.
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