IMAGE SEPARATION INTO BLOCKS

HI , i have an 256*256 image .. i want to separate it into blocks of 4*4 of that original image .. for that i tried with this code .

[img_x,img_y]=size(img); block_size=4; slide_len=1; n=1; for ix=block_size/2:slide_len:img_x-block_size/2 for jy=block_size/2:slide_len:img_y-block_size/2 current_block=img((ix-block_size/2+1):(ix+block_size/2),(jy-block_size/2+1):(jy+block_size/2));

        end
  end
but i could not get the full blocks also when i cheked with original image pixel values differs .. can i use this codes or any in built command can be used .. thanks to all in advance for reading this patiently

[Muthuraj V]

Hi you can use this command

c=mat2cell(a,[x y...],[x y...])

where in that x y .. should match with the no. of rows and columns,,,

chek for help in matlab, u wil get more detail

Regards,

Muthu.

[krithika P]

i get like this when i use this command

Columns 1 through 9

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

[4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8] [4x4 uint8]

Answer 1

[Junaid]

Dear as in obove code division is n't correct .. follow this code

let say your image is I of 256 x 256. Make your your grid which is 4 x 4 this time should divide image dimensions.

if size(I,3)>1, I = rgb2gray(I); end % to make sure image is grayscale

I = imresize(I, [256 256]); % you can keep it the size you want but should be divisible by 4 x 4.

img_blocks = mat2cell(I,size(I,1)/4*ones(1,4), size(I,2)/4*ones(1,4));

Then you get img_blocks of size 4x4. For first block you can get

part1 = img_blocks{1,1};

[krithika P]

clc;

clear all;

[file path]=uigetfile('Input\*.jpg');

filename=strcat(path,file);

I=imread(filename);

img_blocks = mat2cell(I,size(I,1)/4*ones(1,4), size(I,2)/4*ones(1,4));

part1 = img_blocks{1,1}

i run this file .. i get lik this but i want to get separate 4*4 block ....please i am very new to mat lab .. can you give me code clearly.. thank you

[Junaid]

Make sure that your image I should be able to divided into 4 x 4 parts. Let say if your image size is 245 x 245 then that could give you error. For save side you always resize your image to desired dimensions. I also assume your image is grayscale image.

Code :

I=imread(filename);

I = imresize( I, [256 256]);

img_blocks = mat2cell(I,size(I,1)/4*ones(1,4), size(I,2)/4*ones(1,4));

[krithika P]

thank you for your concern .. i have clarification again ..my image file is 256*256 only... if i run its comin like follows..

[64x64 uint8] [64x64 uint8] [64x64 uint8] [64x64 uint8]

[64x64 uint8] [64x64 uint8] [64x64 uint8] [64x64 uint8]

[64x64 uint8] [64x64 uint8] [64x64 uint8] [64x64 uint8]

[64x64 uint8] [64x64 uint8] [64x64 uint8] [64x64 uint8]

this is the code what you have given to me

clc;

clear all;

[file path]=uigetfile('Input\*.jpg');

filename=strcat(path,file);

I=imread(filename);

img_blocks = mat2cell(I,size(I,1)/4*ones(1,4), size(I,2)/4*ones(1,4));

img_blocks

what i need is the pixel 0f 4*4 should appear in the command window one by one follows.. i am going to proceess these block into my further operation

[Junaid]

:- ) yes dear you got 4x 4 blocks in img_blocks. Let say you want to excess first block then

img_blocks{1, 1} and if you want to get the last one it should be img_blocks{4,4}.

Take your time to understand the output. This is exactly what you are required :-)

[krithika P]

thank you ..

[Andrei Bobrov]

s = [64 64];

S = size(I);

out = permute(reshape(I,s(1),S(1)/s(1),s(2),[]),[1 3 2 4]);