An Adaptive Elastic Net Method for Edge Linking of Images

Junyan Yi, Gang Yang, Xiaoxuan Ma and Xiaoyun Shen
Additional contact information
Junyan Yi: Zhejiang University of Technology, Beijing, China
Gang Yang: Renmin University of China, Beijing, China
Xiaoxuan Ma: Beijing University of Civil Engineering and Architecture, Beijing, China
Xiaoyun Shen: Beijing University of Civil Engineering and Architecture, Beijing, China

International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2015, vol. 7, issue 2, 7-19

Abstract: In this paper, the authors propose an adaptive Elastic Net method for edge linking of images. Edge linking is a fundamental computer-vision task, which is a constrained optimization problem. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions. Simulations confirm that the proposed method could produce more meaningful contours than the original Elastic Net in shorter time.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJITN.2015040101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jitn00:v:7:y:2015:i:2:p:7-19

Access Statistics for this article

International Journal of Interdisciplinary Telecommunications and Networking (IJITN) is currently edited by Efosa Carroll Idemudia

More articles in International Journal of Interdisciplinary Telecommunications and Networking (IJITN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().