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 件のコメント
Mahmoud Afifi
2020 年 3 月 26 日
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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