Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation

Title
Convergent Non-overlapping Domain Decomposition Methods for Variational Image Segmentation
Authors
Keywords
Chan–Vese model, Non-overlapping domain decomposition methods, Image segmentation, Primal–dual algorithm, 68U10, 65M55, 74S20
Journal
JOURNAL OF SCIENTIFIC COMPUTING
Volume 69, Issue 2, Pages 532-555
Publisher
Springer Nature
Online
2016-04-21
DOI
10.1007/s10915-016-0207-8

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started