Title of article :
Curvature weighted gradient based shape orientation
Author/Authors :
Martinez-Ortiz، نويسنده , , Carlos and ?uni?، نويسنده , , Jovisa Zunic، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
7
From page :
3035
To page :
3041
Abstract :
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 :
Shape , Gradient , Shape boundary , Image normalisation , orientation , Early vision
Journal title :
PATTERN RECOGNITION
Serial Year :
2010
Journal title :
PATTERN RECOGNITION
Record number :
1733686
Link To Document :
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