期刊
PATTERN RECOGNITION
卷 45, 期 5, 页码 1984-1992出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2011.11.009
关键词
Color texture analysis; Fractal dimension; Complexity; Feature extraction; Classification
资金
- CNPq [303746/2004-1, 484474/2007-3]
- FAPESP [2008/57313-2]
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.
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