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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2013/02.17.22.28
%2 sid.inpe.br/sibgrapi/2013/02.17.22.28.37
%@isbn 978-85-7669-273-7
%A Moreira, Jander,
%A Costa, Luciano da Fontoura,
%@affiliation Departamento de Computação da Universidade de São Carlos (UFSCar)
%@affiliation Instituto de Física de São Carlos (IFSC) da Universidade de São Paulo (USP)
%T Multispectral image segmentation by chromaticity classification
%B Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
%D 1995
%E Lotufo, Roberto de Alencar,
%E Mascarenhas, Nelson Delfino d'Ávila,
%S Anais
%8 25 - 27 out. 1995
%J Porto Alegre
%I Sociedade Brasileira de Computação
%C São Carlos
%K image segmentation, multispectral image segmentation, chromaticity classification.
%X This paper describes a color segmentation technique, based on the k-nearest-neighbor classification scheme, which operates on a normalized version of the color image known as the chromaticity image. An investigation was carried out in order to evaluate how the classification behaves for different number of neighbors (k), for distinct window sizes (in which an average of a sample feature is taken), and for various numbers of samples per class. The results, which are experimentally assessed by comparing the obtained classifications with a standard reference (segmented by human), shows that the method provides good overall accuracy and robustness. The class space for the test image is also presented in graphical form.
%P 119-125
%@language en
%9 Segmentação de Imagens
%3 15 Multispectral image.pdf


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