Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation

El-Hachemi Guerrout, Samy Ait-Aoudia, Dominique Michelucci, Ramdane Mahiou

2016

Abstract

The goal of image segmentation is to simplify the representation of an image to items meaningful and easier to analyze. Medical image segmentation is one of the fundamental problems in image processing field. It aims to provide a crucial decision support to physicians. There is no one way to perform the segmentation. There are several methods based on HMRF. Hidden Markov Random Fields (HMRF) constitute an elegant way to model the problem of segmentation. This modelling leads to the minimization of an energy function. In this paper we investigate direct search methods that are Nelder-Mead and Torczon methods to solve this optimization problem. The quality of segmentation is evaluated on grounds truths images using the Kappa index called also Dice Coefficient (DC). The results show the supremacy of the methods used compared to others methods.

Paper Citation

in Harvard Style

Guerrout E., Ait-Aoudia S., Michelucci D. and Mahiou R. (2016). Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 154-161. DOI: 10.5220/0005658501540161

in Bibtex Style

@conference{icpram16,
author={El-Hachemi Guerrout and Samy Ait-Aoudia and Dominique Michelucci and Ramdane Mahiou},
title={Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={154-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005658501540161},
isbn={978-989-758-173-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation
SN - 978-989-758-173-1
AU - Guerrout E.
AU - Ait-Aoudia S.
AU - Michelucci D.
AU - Mahiou R.
PY - 2016
SP - 154
EP - 161
DO - 10.5220/0005658501540161