By Topic

MRF and multiagent system based approach for image segmentation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Melkemi, K.E. ; Dept. of Comput. Sci., Biskra Univ., Algeria ; Batouche, M. ; Foufou, S.

Simulated annealing (SA) and iterated conditional modes (ICM) are two of the Markov random fields (MRF) model based approaches for image segmentation. In practice, the ICM provides reasonable segmentations compared to the SA and was the most robust in most cases. However, the ICM strongly depends on the initialization phase. In this work, we develop a new approach for image segmentation based on multiagent system (MAS) in order to produce good segmentations. We consider a set of segmentation agents and a coordinator agent. Each segmentation agent is able to segment the image by ICM starting from its own initialization. However, the coordinator agent diversifies the initial configurations using crossover and mutation operators known in the genetic algorithms (GAs). We can consider this model as a hybridization of ICM and GAs. The role of this hybridization is to help in the task of segmentation intensification in order to accede to good configurations.

Published in:

Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

8-10 Dec. 2004