Segment extraction using burns principles in a pseudo-color fuzzy hough transform

Authors:
Marta Penas;María J. Carreira;Manuel G. Penedo;Cástor Mariño
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:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

This paper describes a computational framework developed for the extraction of low-level directional primitives present in an image, and subsequent organization through a line segment detector. The system is divided in three stages: extraction of the directional features in the image through an efficient implementation of Gabor wavelet decomposition; reduction of these high dimensionality results by means of a growing cell structure; and extraction of the segments from the image. This last step was first implemented through a pseudo-color Fuzzy Hough Transform and then improved through some principles of the Burns segment detector.