Paper Info
Title
A New Bayesian Edge-Linking Algorithm Using Single-Target Tracking Techniques.
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.
Year
DOI
Venue
2016
10.3390/sym8120143
SYMMETRY-BASEL
Keywords
Field
DocType
boundary detection,edge linking,single-target tracking
Bayesian inference,Algorithm,Video tracking,Boundary detection,Real image,Mathematics,Bayesian probability,Binary number
Journal
Volume
Issue
Citations 
8
12
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Ji Won Yoon111223.94