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

Research output: Contribution to journalArticle

Abstract

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
JournalSymmetry
Volume8
Issue number12
DOIs
Publication statusPublished - 2016

Fingerprint

Target Tracking
Target tracking
Linking
Edge detection
Object Tracking
tracking problem
Edge Detection
Bayesian inference
edge detection
inference
Transform
Binary

Keywords

  • Boundary detection
  • Edge linking
  • Single-target tracking

ASJC Scopus subject areas

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

Cite this

A new Bayesian edge-linking algorithm using single-target tracking techniques. / Yoon, Ji Won.

In: Symmetry, Vol. 8, No. 12, 143, 2016.

Research output: Contribution to journalArticle

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