Extracting the autonomic nerve wreath of iris based on an improved snake approach

Li Yu; Kuanquan Wang; David Zhang

doi:10.1016/j.neucom.2006.10.009

Extracting the autonomic nerve wreath of iris based on an improved snake approach

Li Yu^*
, Kuanquan Wang
, David Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Hong Kong Polytechnic University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

The autonomic nerve wreath (ANW) is a major landmark feature of iris topography in iridology. Finding the edge of the ANW is of great importance to an automated iris diagnosis system. Based on a two-phase greedy optimization approach, this paper presents an improved snake model for extracting the edge of ANW, which solves the problem that the traditional snake initial contour should be close to the true boundary of interested object in an image. Experimental results show the validity of this approach.

Original language	English
Pages (from-to)	743-748
Number of pages	6
Journal	Neurocomputing
Volume	70
Issue number	4-6
DOIs	https://doi.org/10.1016/j.neucom.2006.10.009
State	Published - Jan 2007
Externally published	Yes

Keywords

ANW edge extraction
Greedy optimization approach
Iridology
Snake model

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10.1016/j.neucom.2006.10.009

Cite this

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title = "Extracting the autonomic nerve wreath of iris based on an improved snake approach",

abstract = "The autonomic nerve wreath (ANW) is a major landmark feature of iris topography in iridology. Finding the edge of the ANW is of great importance to an automated iris diagnosis system. Based on a two-phase greedy optimization approach, this paper presents an improved snake model for extracting the edge of ANW, which solves the problem that the traditional snake initial contour should be close to the true boundary of interested object in an image. Experimental results show the validity of this approach.",

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author = "Li Yu and Kuanquan Wang and David Zhang",

year = "2007",

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AU - Zhang, David

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N2 - The autonomic nerve wreath (ANW) is a major landmark feature of iris topography in iridology. Finding the edge of the ANW is of great importance to an automated iris diagnosis system. Based on a two-phase greedy optimization approach, this paper presents an improved snake model for extracting the edge of ANW, which solves the problem that the traditional snake initial contour should be close to the true boundary of interested object in an image. Experimental results show the validity of this approach.

AB - The autonomic nerve wreath (ANW) is a major landmark feature of iris topography in iridology. Finding the edge of the ANW is of great importance to an automated iris diagnosis system. Based on a two-phase greedy optimization approach, this paper presents an improved snake model for extracting the edge of ANW, which solves the problem that the traditional snake initial contour should be close to the true boundary of interested object in an image. Experimental results show the validity of this approach.

KW - ANW edge extraction

KW - Greedy optimization approach

KW - Iridology

KW - Snake model

UR - https://www.scopus.com/pages/publications/33845981840

U2 - 10.1016/j.neucom.2006.10.009

DO - 10.1016/j.neucom.2006.10.009

M3 - 文章

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VL - 70

SP - 743

EP - 748

JO - Neurocomputing

JF - Neurocomputing

IS - 4-6

ER -

Extracting the autonomic nerve wreath of iris based on an improved snake approach

Abstract

Keywords

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