We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
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
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.