A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function

A Superpixel Boundary Optimization (SBO) Framework Based on Information Measure Function

Superpixel is an essential tool for computer vision. In practice, classic superpixel algorithms do not exhibit good boundary adherence with fewer superpixels, which will greatly hamper further analysis. To remedy the defect, a superpixel boundary optimization framework is proposed in this paper. The...

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Bibliographic Details
Main Authors: Guoqi Liu, Xusheng Li, Baofang Chang, Yifei Dong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Superpixel
boundary optimization
framework
information measure function
weighted directed graph
Online Access:https://ieeexplore.ieee.org/document/9051814/

Internet

https://ieeexplore.ieee.org/document/9051814/

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