PFS: Particle-Filter-Based Superpixel Segmentation

PFS: Particle-Filter-Based Superpixel Segmentation

In this paper, we propose a particle-filter-based superpixel (PFS) segmentation method that extends the original tracking problem as a region clustering problem. The basic idea is to approximate superpixel centers by multiple particles to obtain high intra-region similarity. Specifically, we firstly...

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Bibliographic Details
Main Authors: Li Xu, Bing Luo, Zheng Pei, Keyun Qin
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Symmetry
Subjects:
superpixel segmentation
particle filtering
density cluster
associate rule
intra-region similarity
Online Access:http://www.mdpi.com/2073-8994/10/5/143

Internet

http://www.mdpi.com/2073-8994/10/5/143

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