A New Algorithm for Dominant Point Detection by Quasi-collinear Break Points Supression

Authors:
A. Carmona-Poyato;N. L. Fernandez-Garcia;R. Muñoz-Salinas
Affiliations:
Departament of Computing and Numerical Analisis, Cordoba University, Spain;Departament of Computing and Numerical Analisis, Cordoba University, Spain;Departament of Computing and Numerical Analisis, Cordoba University, Spain
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

A new algorithm for dominant points of digital planar curves is presented. This algorithm is relied on a new method for quasi-collinear point supression. All the break points are obtained from the initial contour. The proposed algorithm deletes quasi-collinear break points using a variable distance as treshold value. The resultant points are dominant points. This aproximation is compared with other algorithms. The experimental results show that this method works well for digital planar curves with features of several sizes.