Izvorni znanstveni članak
https://doi.org/10.2498/cit.1001448
Fuzzy Distributed Genetic Approaches for Image Segmentation
Kamal E. Melkemi
; Department of Computer Science, University of Biskra, Algeria
Sebti Foufou
; Le2i laboratory, University of Burgundy, France and CENG, CSE, Qatar University, Qatar
Sažetak
This paper presents a new image segmentation algorithm (called
FDGA-Seg) based on a combination of fuzzy logic, multiagent
systems and genetic algorithms. We propose to use a fuzzy
representation of the image site labels by introducing some
imprecision in the gray tones values. The distributivity of
FDGA-Seg comes from the fact that it is designed around a
MultiAgent System (MAS) working with two different architectures
based on the master-slave and island models. A rich set of
experimental segmentation results given by FDGA-Seg is discussed
and compared to the ICM results in the last section.
Ključne riječi
Hrčak ID:
59536
URI
Datum izdavanja:
30.9.2010.
Posjeta: 1.241 *