A new Bayesian edge-linking algorithm using single-target tracking techniques

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This paper proposes novel edge-linking algorithms capable of producing a set of edge segments from a binary edge map generated by a conventional edge-detection algorithm. These proposed algorithms transform the conventional edge-linking problem into a single-target tracking problem, which is a well-known problem in object tracking. The conversion of the problem enables us to apply sophisticated Bayesian inference to connect the edge points. We test our proposed approaches on real images that are corrupted with noise.

Original languageEnglish
Article number143
Issue number12
Publication statusPublished - 2016

Bibliographical note

Publisher Copyright:
© 2016 by the authors.


  • Boundary detection
  • Edge linking
  • Single-target tracking

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • General Mathematics
  • Physics and Astronomy (miscellaneous)


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