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...
Main Authors: | Li Xu, Bing Luo, Zheng Pei, Keyun Qin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-8994/10/5/143 |
Similar Items
-
An Interactive Segmentation Method Based on Superpixel
by: Yang Shu, et al.
Published: (2015-01-01) -
Superpixel Segmentation by Forgetting Geodesic Distance
by: Bing Luo, et al.
Published: (2020-01-01) -
Weakly Supervised Foreground Segmentation Based on Superpixel Grouping
by: Wangsheng Yu, et al.
Published: (2018-01-01) -
Brain tumour segmentation from MRI using superpixels based spectral clustering
by: Angulakshmi Maruthamuthu, et al.
Published: (2020-12-01) -
Improved Fast Generation of Superpixel Algorithms with Deep Network
by: SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
Published: (2020-12-01)