RGB Color Distribution Analysis Using Volumetric Fractal Dimension

  • Dalcimar Casanova
  • Odemir Martinez Bruno
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7340)


Over the years many approaches for texture analysis have been proposed. Most of these methods use, directly or indirectly, the spatial information to build the features. Although the spatial distribution of gray levels is a property a priori of the texture, some methods do not use this propriety to characterize it. The problem is that this class of methods has, generally, worst results than first one. Thus, in this work we propose a new method to classify color textures that does not use any type of spatial distribution information and still achieves high classification rates, comparable, if not better, than traditional texture analysis methods. The method is based on analysis of RGB color distribution using volumetric fractal dimension.


Fractal Dimension Linear Discriminant Analysis Color Texture Pattern Recognition Letter Histogram Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dalcimar Casanova
    • 1
  • Odemir Martinez Bruno
    • 1
  1. 1.IFSC - Instituto de Física de São CarlosUSP - Universidade de São PauloSão CarlosBrasil

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