how to divide image into 3x3 blocks? '9 parts'
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i have one rgb image, i converted it to gray then to binary, did imfill, further i want to split that image into 9 blocks i.e 3x3 , please help me
1 comentario
Jan
el 19 de En. de 2014
Please show us, what you have tried so far and explain explicitly which problem occur.
Respuestas (2)
Image Analyst
el 19 de En. de 2014
See the FAQ for 2 different ways of doing it: http://matlab.wikia.com/wiki/FAQ#How_do_I_split_an_image_into_non-overlapping_blocks.3F
4 comentarios
moahaimen talib
el 14 de Mayo de 2017
Editada: moahaimen talib
el 14 de Mayo de 2017
i think i solved the problem by putting
figure(k);
subplot(3,3,1);
imshow(image1);
subplot(3,3,2);
imshow(image2);
subplot(3,3,3);
imshow(image3);
subplot(3,3,4);
imshow(image4);
subplot(3,3,5);
imshow(image5);
subplot(3,3,6);
imshow(image6);
subplot(3,3,7);
imshow(image7);
subplot(3,3,8);
imshow(image8);
subplot(3,3,9);
imshow(image9);
--------------------------------------------------------------
now it shows all segmented images but how can i store each part and extract features for them and store them in good dataset for classification?
-------------------------------------------------------------------
i could make this instruction it will extract features for image1 for all 20 images but i need it for all 9 parts(image1...image9)
% Extract the 9 images.
image1 = imageArray(1:r3, 1:c3);
GLCM = graycomatrix(image1,'Offset',[0 2]);
Resultstats = graycoprops(GLCM,{'energy','Homogeneity'})
image2 = imageArray(1:r3, c3+1:2*c3);
image3 = imageArray(1:r3, 2*c3+1:end);
image4 = imageArray(r3+1:2*r3, 1:c3);
image5 = imageArray(r3+1:2*r3, c3+1:2*c3);
image6 = imageArray(r3+1:2*r3, 2*c3+1:end);
image7 = imageArray(2*r3+1:end, 1:c3);
image8 = imageArray(2*r3+1:end, c3+1:2*c3);
image9 = imageArray(2*r3+1:end, 2*c3+1:end);
Walter Roberson
el 15 de Dic. de 2018
atiqah ghaffar comments to Image Analyst
Thank you. This helps a lot.
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