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

被引：3
|
作者：
Yoon, Ji Won [1 ]
机构：
[1] Korea Univ, Ctr Informat Secur Technol, Seoul 02841, South Korea
来源：
SYMMETRY-BASEL | 2016年 / 8卷 / 12期
关键词：
boundary detection; edge linking; single-target tracking; IMAGE SEGMENTATION; SHAPE;
D O I：
10.3390/sym8120143
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页数：17
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