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Titolo:
A fast level set method for segmentation of low contrast noisy biomedical images
Autore:
Deng, JW; Tsui, HT;
Indirizzi:
Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China Chinese Univ Hong Kong Shatin Hong Kong Peoples R China Peoples R China
Titolo Testata:
PATTERN RECOGNITION LETTERS
fascicolo: 1-3, volume: 23, anno: 2002,
pagine: 161 - 169
SICI:
0167-8655(200201)23:1-3<161:AFLSMF>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Keywords:
image segmentation; level set; front propagation; active contour;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Deng, JW Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China Chinese Univ Hong Kong Shatin Hong Kong Peoples R China R China
Citazione:
J.W. Deng e H.T. Tsui, "A fast level set method for segmentation of low contrast noisy biomedical images", PATT REC L, 23(1-3), 2002, pp. 161-169

Abstract

This paper presents a new fast front propagation algorithm for image segmentation. To approximate the partial differential equation (PDE) in level set algorithm, instead of moving the front in a small constant time step, thepoint with a minimum arrival time will be touched in one iteration. Only in a neighbourhood of this point, should the level set function be updated. Like the previously proposed level set methods. it is a robust method for image segmentation with capabilities to handle topological changes, significant protrusions and narrow regions. It is faster than the narrow band algorithm and more robust than the monotonically advancing scheme in image segmentation. The effectiveness and the capabilities of the algorithm were verified by simulated and real experiments. (C) 2002 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/09/20 alle ore 13:05:25