Image segmentation with arbitrary noise models by solving minimal surface problems
type: Item
instance of: scholarly article
title: Image segmentation with arbitrary noise models by solving minimal surface problems
zbMATH Open document ID: 1394.68403
author: Daniel Tenbrinck
author: Xiaoyi Jiang
published in: Pattern Recognition
publication date: 2018-09-03T00:00:00Z
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 6931098
zbMATH Keywords: segmentation
zbMATH Keywords: minimal surface problem
zbMATH Keywords: thresholding
zbMATH Keywords: Chan-Vese model
zbMATH Keywords: level-set methods
zbMATH Keywords: convex optimization
zbMATH Keywords: physical noise
MaRDI profile type: Publication
full work available at URL: j.patcog.2015.01.006
OpenAlex ID: W2061305400
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DOI: 10.1016/J.PATCOG.2015.01.006
description: scientific article; zbMATH DE number 6931098