Abstract
In the aim of providing sophisticated applications and getting benefits from the advantageous properties of agents, designing agent-based and multi-agent systems has become an important issue that received further consideration from many application domains. Towards the same goal, this work gathered three different research fields; image segmentation, fuzzy clustering and multi-agent systems (MAS); and furnished a MAS for MR brain image segmentation that is based on a fast and robust FCM (FRFCM) algorithm. The proposed MAS was tested, as well as the sequential version of the FRFCM algorithm and the standard FCM, on simulated and real normal brains. The experimental results were valuable in both segmentation accuracy and running times point of views.
Highlights
Agent technology has received a significant consideration from many application areas such as computer science, industry and medicine
Developing theories and methods of designing agent-based and multi-agent systems has been adopted by several researchers. a variety of work has been published in this context
This paper is mainly concentrated on designing a sophisticated multi-agent systems (MAS) for MR brain image segmentation based on a fast and robust FCM algorithm (FRFCM) that includes the median filter into the clustering process
Summary
Agent technology has received a significant consideration from many application areas such as computer science, industry and medicine. Jennings pointed out the three main elements needed to design and implement intelligent agents (theories, architectures and languages) They examined some of the potential applications developed before 1995 (Air traffic control, patient care, believable agents ...). This framework is composed of nine models spanning seven computer science topics The authors consider their framework as a starting point for future researches about reinventing introductory computer science education focused on MASs. In the aim of providing agents able to bilaterally negotiate joint plans with humans, A. This paper is mainly concentrated on designing a sophisticated MAS for MR brain image segmentation based on a fast and robust FCM algorithm (FRFCM) that includes the median filter into the clustering process.
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