how to implement Markov random field to remove miss classified objects

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Hello; i have a binary image which is a result of kmean clustering method,
hence the change map still needs smoothing;
is it possible to implement Markov random field to reduce the miss classified objects?
the attached zip correspond to the binary map
  1 Comment
Mahmoud Afifi
Mahmoud Afifi on 26 Mar 2020
Please check this code. It segments the image using Markov random field after Kmeans clustering. I guess this code can be modified to do your task.

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