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A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques

Authors
Yoon, Ji Won
Issue Date
12월-2016
Publisher
MDPI
Keywords
boundary detection; edge linking; single-target tracking
Citation
SYMMETRY-BASEL, v.8, no.12
Indexed
SCIE
SCOPUS
Journal Title
SYMMETRY-BASEL
Volume
8
Number
12
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86622
DOI
10.3390/sym8120143
ISSN
2073-8994
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.
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