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

Li Yu; Kuanquan Wang; Dapeng 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, Dapeng Zhang

Research output: Journal article publication › Journal article › Academic research › peer-review

8 Citations (Scopus)

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
Publication status	Published - 1 Jan 2007

Keywords

ANW edge extraction
Greedy optimization approach
Iridology
Snake model

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

More information

10.1016/j.neucom.2006.10.009

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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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KW - Iridology

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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