Circular Degree Hough Transform

Authors:
Alejandro Flores-Mendez;Angeles Suarez-Cervantes
Affiliations:
LIDETEA, Universidad la Salle, México, México;LIDETEA, Universidad la Salle, México, México
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

The Circular Hough Transform (CHT) is probably the most widely used technique for detecting circular shapes within an image. This paper presents a novel variation of CHT which we call the Circular Degree Hough Transform (CDHT). The CDHT showed better performance than CHT for a number of experiments (eye localization, crater detection, etc.) included in this document. The improvement is mainly achieved by considering the orientation of the edges detected.