An efficient elastic net method for edge linking of images

Junyan Yi*, Gang Yang, Yuki Todo, Zheng Tang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Edge linking is a fundamental computer-vision task, viewed as a constrained optimization problem, it is NP hard- being isomorphic to the classical traveling salesman problem. In this paper, we propose an efficient Elastic Net method for edge linking of images. A dynamic parameter strategy is introduced into the Elastic Net, which enable the network to have superior search ability for edge points and converge sooner to optimal or near-optimal solutions. Simulations are conducted on a series of artificial images. The results confirm that this method effectively improves both the solution quality and convergence speed of the classical Elastic Net.

Original languageEnglish
Title of host publicationProceedings of APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
Pages388-391
Number of pages4
DOIs
StatePublished - 2008
EventAPCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems - Macao, China
Duration: 2008/11/302008/12/03

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

ConferenceAPCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems
Country/TerritoryChina
CityMacao
Period2008/11/302008/12/03

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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