A cellular coevolutionary algorithm for image segmentation

Clustering is inherently a difficult problem, both with respect to the definition of adequate models as well as to the optimization of the models. We present a model for the cluster problem that does not need knowledge about the number of clusters a priori . This property is among others useful in t...

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Vydáno v:	IEEE transactions on image processing Ročník 12; číslo 3; s. 304 - 316
Hlavní autoři:	Veenman, C.J., Reinders, M.J.T., Backer, E.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.03.2003 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Cellular Clustering algorithms Clustering methods Clusters Exact sciences and technology Genetic algorithms Image processing Image segmentation Information technology Information, signal and communications theory Mathematical models Optimization Parameter estimation Pattern recognition Pixel Scattering Signal processing Studies Telecommunications and information theory Two dimensional displays Unions Performance evaluation Image segmentation Automatic classification distributed genetic algorithms modeling Image processing Genetic algorithm Distributed algorithm Markov model Clustering Optimization
ISSN:	1057-7149, 1941-0042
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