Efficient combination of the fuzzy hough transform and the burns segment detector

  • Authors:
  • Marta Penas;María J. Carreira;Manuel G. Penedo;Noelia Barreira

  • Affiliations:
  • Dpto. Computación, Fac. Informática, Universidade da Coruña, A Coruña, Spain;Dpto. Electrónica e Computación, Universidade de Santiago de Compostela, Santiago de Compostela, Spain;Dpto. Computación, Fac. Informática, Universidade da Coruña, A Coruña, Spain;Dpto. Computación, Fac. Informática, Universidade da Coruña, A Coruña, Spain

  • Venue:
  • EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a computational framework for the fully automated detection of line segments in 2D digital images. The operation of the framework is divided in two stages, the low level directional primitive detection through Gabor wavelets and growing cell structures, and the segment detection through an efficient and very accurate combination of the fuzzy Hough transform and the Burns segment detector.