how to reconstruct image that has been clustered to its original image ?

hi, I have an image and already devided it into 100x100 size block. after obtaining cluster for each block I want to return the blocks of the image to its original image. do you guys could help me with matlab code, please?

i've attached the image fyi.

thank you so much.

[Adam]

What is in the blocks? Clustered data of the same shape as the original? It depends in what format you have the data, but why can't you just concatenate all the blocks in the relevant dimensions?

[Ade Aulya]

hi, thanks for your respond.

i've attached the image example, its original image and image after i devided into 100x100pz. those blocks i used as an input for k-means to get the cluster value. i already get the it after obtaining with k-means. and i need to reconstruct those blocks again to the original image.

do you have any idea for this ? or do you have any code example for that concatenation block into relevant dimensions, please ?

thank you so much.

[Adam]

Again, it depends entirely what format youtr blocks are in, but, for example

img = [block1 block2; block3 block4];

would recompose an image from 4 blocks, provided they are the same size (or compatible sizes at least).