Authors: Martinez-Ortiz, Carlos
Žunić, Joviša 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Curvature weighted gradient based shape orientation
Journal: Pattern Recognition
Volume: 43
Issue: 9
First page: 3035
Last page: 3041
Issue Date: 1-Jan-2010
Rank: M21a
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2010.03.026
Determining the orientation of a shape is a common task in many image processing applications. It is usually part of the image preprocessing stages and further processing may rely on an adequate method to determine the orientation. There are several methods for computing the orientation of a shape, each of them with its own strengths and weaknesses; a method which performs outstandingly for one application may have a poor performance for a different application. In this paper we present a new method for computing shape orientation based on the projection of the tangent vectors of a shape onto a line and weighting them using a function of the curvature. Some of the results from Žunić (2008) [14] are particular cases of the results presented here.
Keywords: Early vision | Gradient | Image normalisation | Orientation | Shape | Shape boundary
Publisher: Elsevier

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