how to implement Markov random field to remove miss classified objects

3 次查看（过去 30 天）

Natsu dragon 2018-3-9

评论： Mahmoud Afifi 2020-3-26

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 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.

在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by