Adaptive edge detection: a new criterion and its recursive implementation

Author

Zhou, Ling-Xiang ; Gu, Wei-Kang

Author_Institution

Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

1996

fDate

14-18 Oct 1996

Firstpage

1130

Abstract

A good edge detection method is always a good trade-off between noise restraining and signal preserving. This paper presents a new criterion for optimal edge detection, which is under a general gradient edge model. The noise restraining ability and edge localization precision are combined for a criterion with distinct physical meaning. We deduce some nonlinear shift-variant filters that can be implemented recursively as usual IIR filters. It also can be proven that the first and second order linear shift-invariant approximations are Shen´s (1992) and Canny-Deriche´s (1986, 1987) operators respectively

Keywords

IIR filters; adaptive signal processing; approximation theory; edge detection; filtering theory; noise; nonlinear filters; optimisation; recursive filters; IIR filters; adaptive edge detection; edge localization precision; first order linear shift invariant approximation; general gradient edge model; noise restraining ability; nonlinear shift variant filters; optimal edge detection; recursive filters; recursive implementation; second order linear shift invariant approximation; signal preservation; Adaptive filters; Displacement measurement; Filtering; Gaussian noise; IIR filters; Image edge detection; Noise measurement; Nonlinear filters; Signal to noise ratio; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566316

Filename

566316