An Augmented Lagrangian Model for Signal Segmentation

In this paper, we provide a new insight to the two-phase signal segmentation problem. We propose an augmented Lagrangian variational model based on Chan–Vese’s original one. Using both energy methods and PDE methods, we show, in the one-dimensional case, that the set of minimizers to the proposed fu...

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Bibliographic Details

Published in:	Mediterranean journal of mathematics Vol. 19; no. 3
Main Authors:	Moll, Salvador, Pallardó, Vicent
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01-06-2022 Springer Nature B.V
Subjects:	Algorithms Energy methods Functionals Mathematics Mathematics and Statistics Segmentation 49J10 Segmentation signal processing 35Q68 35J92 minimizers 35G60 total variation one dimensional
Online Access:	Get full text
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