Edge Detection Based on Asymptote Model

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...

Full description

Saved in:
Bibliographic Details
Published inAdvanced Intelligent Computing Vol. 4681; pp. 913 - 921
Main Authors Huang, Waibin, Zhang, Dan, Dong, Guangchang
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2007
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
edge vector
generalized grads operator
Minimal oscillation
zero normal curvature
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9783540741701
3540741704
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-74171-8_92