MATLAB: How to divide an image into 4*4 blocks and find the mean of each block

depthmap generationdividing image into blocksmean of blocks

we are doing our graduation project on depth map generation.we have read an coloured image and converted it into a grsay scale.next we have to divide the image into 4*4 blocks and find the mean of each block.

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Img = rand(640, 480);  % Test data
Img = reshape(Img, 4, 160, 4, 120);
meanImg = sum(sum(Img, 1), 3) / 16;
meanImg = squeeze(meanImg)

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MATLAB: IMAGE SEPARATION INTO BLOCKS

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};

MATLAB: Image shows with imshowpair, but not with imshow

Your binary image should be 2 dimensional, if it is not convert the original image into gray cale and then create binary image,

midAirImage = imread("MidAirTest.jpg");

midAirImage = rgb2gray(midAirImage);

bwImage = imbinarize(midAirImage,'adaptive','ForegroundPolarity','dark','Sensitivity',0.4);

imshowpair(midAirImage, bwImage, 'montage')

imshow(bwImage);

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Related Solutions

MATLAB: IMAGE SEPARATION INTO BLOCKS

MATLAB: Image shows with imshowpair, but not with imshow

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