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
am 28 Jan. 2017
Kommentiert: Walter Roberson
am 16 Aug. 2022
how to divide an image into 16x16 non overlapping blocks for finding the local binary pattern in the further steps
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John Chilleri
am 28 Jan. 2017
Bearbeitet: John Chilleri
am 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 Kommentare
Walter Roberson
am 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
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Image Analyst
am 28 Jan. 2017
Bearbeitet: Image Analyst
am 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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