Frame based segmentation for medical images
type: Item
instance of: scholarly article
title: Frame based segmentation for medical images
zbMATH Open document ID: 1232.42032
author: Bin Dong
author: Aichi Chien
author: Zuowei Shen
published in: Communications in Mathematical Sciences
publication date: 2011-06-28T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.cms/1305034467
review text: This paper studies the problem of medical image segmentations. The authors propose a frame based model. As a key point, they penalize the \(l_1\) norm of the framelet coefficients. Numerical experiments show that their model outperforms the traditional one in some sense.
Mathematics Subject Classification ID: 42C40
Mathematics Subject Classification ID: 65T60
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 94A11
zbMATH DE Number: 5914218
zbMATH Keywords: tight frames
zbMATH Keywords: image segmentation
zbMATH Keywords: sparse approximation
reviewed by: Youming Liu
MaRDI profile type: Publication
OpenAlex ID: W2090390875
DOI: 10.4310/CMS.2011.V9.N2.A10
description: scientific article; zbMATH DE number 5914218