Color texture analysis based on fractal descriptors
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
14/08/2013
14/08/2013
2012
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| Resumo |
Color texture classification is an important step in image segmentation and recognition. The color information is especially important in textures of natural scenes, such as leaves surfaces, terrains models, etc. In this paper, we propose a novel approach based on the fractal dimension for color texture analysis. The proposed approach investigates the complexity in R, G and B color channels to characterize a texture sample. We also propose to study all channels in combination, taking into consideration the correlations between them. Both these approaches use the volumetric version of the Bouligand-Minkowski Fractal Dimension method. The results show a advantage of the proposed method over other color texture analysis methods. (C) 2011 Elsevier Ltd. All rights reserved. CNPq CNPq [303746/2004-1, 484474/2007-3] FAPESP FAPESP [2008/57313-2] |
| Identificador |
PATTERN RECOGNITION, OXFORD, v. 45, n. 5, supl. 1, Part 1, pp. 1984-1992, MAY, 2012 0031-3203 http://www.producao.usp.br/handle/BDPI/32552 10.1016/j.patcog.2011.11.009 |
| Idioma(s) |
eng |
| Publicador |
ELSEVIER SCI LTD OXFORD |
| Relação |
PATTERN RECOGNITION |
| Direitos |
openAccess Copyright ELSEVIER SCI LTD |
| Palavras-Chave | #COLOR TEXTURE ANALYSIS #FRACTAL DIMENSION #COMPLEXITY #FEATURE EXTRACTION #CLASSIFICATION #CLASSIFICATION #DIMENSION #SEGMENTATION #IMAGES #FEATURES #DISCRIMINATION #RESOLUTION #GEOMETRY #FILTERS #COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE #ENGINEERING, ELECTRICAL & ELECTRONIC |
| Tipo |
article original article publishedVersion |
