Plant leaf identification using color and multi-scale fractal dimension

  • Authors:
  • André R. Backes;Odemir M. Bruno

  • Affiliations:
  • Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, SP, Brazil;Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil

  • Venue:
  • ICISP'10 Proceedings of the 4th international conference on Image and signal processing
  • Year:
  • 2010

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Abstract

The most extracted measures from plants are traditionally performed manually. This and the great biodiversity of species makes the taxonomical classification of plants a very complex and time-consuming task. In order to contribute to the plant species characterization, a novel approach based on color texture is proposed. Each color channel in a leaf texture is modeled as a surface, so the complexity in each channel, as well as in the interaction among these three color channels, can be measured using the Multi-scale fractal dimension. Results show the potential of this approach, which overcomes traditional color texture analysis methods, such as Chromaticity Moments and Gabor EEE descriptors.