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Comparative Frameworks for Directional Primitive Extraction

  • M. Penas
  • M. J. Carreira
  • M. G. Penedo
  • M. Mirmehdi
  • B. T. Thomas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined.

Keywords

Directional primitives Gabor wavelets Sobel filter auto-organised structures growing cell structures chromaticity diagram 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • M. Penas
    • 1
  • M. J. Carreira
    • 2
  • M. G. Penedo
    • 1
  • M. Mirmehdi
    • 3
  • B. T. Thomas
    • 3
  1. 1.Computer Science DepartmentUniversidade da CoruñaSpain
  2. 2.Dpto. Electrónica e ComputaciónUniversidade de Santiago de CompostelaSpain
  3. 3.Department of Computer ScienceUniversity of BristolUnited Kingdom

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