how to implement Markov random field to remove miss classified objects
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Natsu dragon on 9 Mar 2018
Commented: Mahmoud Afifi on 26 Mar 2020
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
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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