Image Segmentation Using the EM/MPM Algorithm

Authors

  • Hanane DALIMI  Engineering and Materials Laboratory, Engineering and Energy Team, Ben M'sik Faculty of Sciences, Casablanca, Morocco
  • Mohamed AFIFI  Engineering and Materials Laboratory, Engineering and Energy Team, Ben M'sik Faculty of Sciences, Casablanca, Morocco
  • Said AMAR  Engineering and Materials Laboratory, Engineering and Energy Team, Ben M'sik Faculty of Sciences, Casablanca, Morocco

DOI:

https://doi.org//10.32628/IJSRST218380

Keywords:

Unsupervised Segmentation, EM algorithm, K-means, Histogram Markov, MPM

Abstract

In this article we propose to place our work in a Markovian framework for unsupervised image segmentation. We give one of the procedures for estimating the parameters of a Markov field, we limit the work to the EM estimation method and the Posterior Marginal Maximization (MPM) segmentation method. Estimating the number of regions who compones the image is relatively difficult, we try to solve this problem by the K-means Histogram method.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Hanane DALIMI, Mohamed AFIFI, Said AMAR, " Image Segmentation Using the EM/MPM Algorithm, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8, Issue 3, pp.618-622, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST218380