Characterizing the Lacunarity of Objects and Image Sets and Its Use as a Technique for the Analysis of Textural Patterns

  • Rafael H. C. de Melo
  • Evelyn de A. Vieira
  • Aura Conci
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)


An approach is presented for characterize objects and image texture by local lacunarity. This measure makes possible to distinguish sets that have same fractal dimension. In image analysis it can be used as a new feature in the pattern recognition process mainly for identification of natural textures. Illustrating the approach, two types of examples were presented: 3D objects representing approximations of fractal sets and medical images. In the first type, we apply this approach to show its possibility when the objects presents the same fractal dimension. The second type shows that it can be used as a feature on pattern recognition alone in many resolutions.


Fractal Dimension Fractal Geometry Fractal Object Real Fractal Space Occupancy 
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 2006

Authors and Affiliations

  • Rafael H. C. de Melo
    • 1
  • Evelyn de A. Vieira
    • 1
  • Aura Conci
    • 1
  1. 1.Computer InstituteUFF – Federal Fluminense UniversityNiteroi, Rio de JaneiroBrazil

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