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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/09.26.19.56
%2 sid.inpe.br/sibgrapi@80/2007/09.26.19.56.43
%A Souza, Jackson Gomes de,
%A Costa, José Alfredo F.,
%@affiliation Federal University of Rio Grande do Norte - Electrical Engineering Dept.
%@affiliation Federal University of Rio Grande do Norte - Electrical Engineering Dept.
%T Natural Computing Techniques for Data Clustering and Image Segmentation
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%D 2007
%E Gonçalves, Luiz,
%E Wu, Shin Ting,
%S Proceedings
%8 Oct. 7-10, 2007
%J Porto Alegre
%I Sociedade Brasileira de Computação
%C Belo Horizonte
%K Pattern Recognition, Image Segmentation, Medical Imaging and Visualization, Applications, Natural Computing, Genetic Algorithms.
%X This 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.
%@language en
%3 33919.pdf


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