Reference TypeConference Proceedings
Citation KeySouzaCost:2007:NaCoTe
Author1 Souza, Jackson Gomes de
2 Costa, José Alfredo F.
Affiliation1 Federal University of Rio Grande do Norte - Electrical Engineering Dept.
2 Federal University of Rio Grande do Norte - Electrical Engineering Dept.
TitleNatural Computing Techniques for Data Clustering and Image Segmentation
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorGonçalves, Luiz
Wu, Shin Ting
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationBelo Horizonte
KeywordsPattern Recognition, Image Segmentation, Medical Imaging and Visualization, Applications, Natural Computing, Genetic Algorithms.
AbstractThis paper presents innovative ways to solve data clustering and image segmentation using Natural computing, a novel approach to solve real life problems inspired in the life. Evolutionary Computing, which is based on the concepts of the evolutionary biology and individual-to-population adaptation, and Swarm Intelligence, which is inspired in the behavior of individuals that, in group, try to achieve better results for a complex optimization problem, are detailed and very experimental results present a comparison between algorithms' implementations.
Tertiary TypeTechnical Poster
Size45 KiB
Number of Files1
Target File33919.pdf
Last Update2007: administrator
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