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Circular degree hough transform

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5856 LNCS 287-294
DOI: 10.1007/978-3-642-10268-4_34
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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. © 2009 Springer-Verlag Berlin Heidelberg.

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Flores-Mendez, A., & Suarez-Cervantes, A. (2009). Circular degree hough transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 287–294). https://doi.org/10.1007/978-3-642-10268-4_34

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