Edge detection based on asymptote model

Authors:
Waibin Huang;Dan Zhang;Guangchang Dong
Affiliations:
Department of Mathematics, Zhejiang University, Hangzhou, China and School of Computing, Zhejiang University City College, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;Department of Mathematics, Zhejiang University, Hangzhou, China
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

Citing 7
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Abstract

This paper presents a new description of image edge in the form of asymptote equation utilizing knowledge of differential geometry, and modifies a popular parlance in the traditional image processing. This paper develops the gradient concept and defines a generalized grads operator. The operator is a novel nonlinear transform, which inherits the strongpoint of noise suppression from the classical Gaussian differential filter and has a better edge extraction function. The experimental results show the proposed edge detection algorithm is powerful and effective.