how to implement Markov random field to remove miss classified objects
3 次查看(过去 30 天)
显示 更早的评论
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 个评论
Mahmoud Afifi
2020-3-26
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.
回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!