A Novel Euler’s Elastica-Based Segmentation Approach for Noisy Images Using the Progressive Hedging Algorithm

A Novel Euler’s Elastica-Based Segmentation Approach for Noisy Images Using the Progressive Hedging Algorithm

Euler’s elastica-based unsupervised segmentation models have strong capability of completing the missing boundaries for existing objects in a clean image, but they are not working well for noisy images. This paper aims to establish a Euler’s elastica-based approach that can properly deal with the ra...

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Bibliographic Details
Main Authors: Tan, Lu, Li, Ling, Liu, Wan-Quan, Sun, Jie, Zhang, M.
Format: Journal Article
Language:English
Published: SPRINGER 2020
Subjects:
Science & Technology
Technology
Physical Sciences
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
Mathematics, Applied
Computer Science
Mathematics
Euler's elastic energy
Stochastic noises
Progressive hedging algorithm (PHA )
Alternating direction method of multipliers (ADMM)
Curvature-weighted approach
ACTIVE CONTOURS
FRAMEWORK
Online Access:http://hdl.handle.net/20.500.11937/91437

Internet

http://hdl.handle.net/20.500.11937/91437

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