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An Adaptive Elastic Net Method for Edge Linking of Images

Author

Listed:
  • 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)

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.

Suggested Citation

  • Junyan Yi & Gang Yang & Xiaoxuan Ma & Xiaoyun Shen, 2015. "An Adaptive Elastic Net Method for Edge Linking of Images," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 7(2), pages 7-19, April.
    • Handle: RePEc:igg:jitn00:v:7:y:2015:i:2:p:7-19
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