Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeySouzaCost:2007:NaCoTe
TitleNatural Computing Techniques for Data Clustering and Image Segmentation
DateOct. 7-10, 2007
Access Date2021, Jan. 19
Number of Files1
Size45 KiB
Context area
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.
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:46 :: -> administrator ::
2009-08-13 20:38:48 :: administrator -> banon ::
2010-08-28 20:02:33 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
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.
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