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Curvature weighted gradient based shape orientation

delete2010-09-01
delete7
PRE
AI
C
Carlos Martínez-Ortiz *
J
Joviša Žunić
DOI:10.1016/j.patcog.2010.03.026delete
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摘要

摘要

En 中文
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 Zunic (2008) [14] are particular cases of the results presented here. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Shape
Orientation
Gradient
Shape boundary
Image normalisation
Early vision
AI总结

AI总结

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期刊

Pattern Recognition 封面图
Pattern Recognition
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

U
University of Exeter
学者数:
2.0W
论文数: 2.1W
被引数: 3.6W
引用论文

引用论文

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