Reference TypeConference Proceedings
Citation KeyMoreiraCost:1995:MuImSe
Author1 Moreira, Jander
2 Costa, Luciano da Fontoura
Affiliation1 Departamento de Computação da Universidade de São Carlos (UFSCar)
2 Instituto de Física de São Carlos (IFSC) da Universidade de São Paulo (USP)
TitleMultispectral image segmentation by chromaticity classification
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
EditorLotufo, Roberto de Alencar
Mascarenhas, Nelson Delfino d'Ávila
Book TitleAnais
Date25 - 27 out. 1995
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationSão Carlos
Keywordsimage segmentation, multispectral image segmentation, chromaticity classification.
AbstractThis 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.
TypeSegmentação de Imagens
Tertiary TypeArtigo
FormatImpresso, On-line.
Size5777 KiB
Number of Files1
Target File15 Multispectral image.pdf
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Metadata Last Update2013: {D 1995}
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