D 2010

A Fast Level Set-Like Algorithm for Region-Based Active Contours

MAŠKA, Martin, Pavel MATULA, Ondřej DANĚK and Michal KOZUBEK

Basic information

Original name

A Fast Level Set-Like Algorithm for Region-Based Active Contours

Name in Czech

Rychlý Level Set algoritmus pro aktivní kontury založené na regionech

Authors

MAŠKA, Martin (203 Czech Republic, guarantor, belonging to the institution), Pavel MATULA (203 Czech Republic, belonging to the institution), Ondřej DANĚK (203 Czech Republic, belonging to the institution) and Michal KOZUBEK (203 Czech Republic, belonging to the institution)

Edition

Berlin, Heidelberg, 6th International Symposium on Visual Computing, p. 387-396, 10 pp. 2010

Publisher

Springer-Verlag

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/10:00067193

Organization unit

Faculty of Informatics

ISBN

978-3-642-17276-2

ISSN

DOI

UT WoS

000290358400040

Keywords in English

implicit active contours; Chan-Vese model; fast level set-like algorithm

Tags

Tags

International impact, Reviewed
Změněno: 13/12/2015 02:07, doc. RNDr. Martin Maška, Ph.D.

Abstract

ORIG CZ

V originále

Implicit active contours are widely employed in image processing and related areas. Their implementation using the level set framework brings several advantages over parametric snakes. In particular, a parameterization independence, topological flexibility, and straightforward extension into higher dimensions have led to their popularity. On the other hand, a numerical solution of associated partial differential equations (PDEs) is very time-consuming, especially for large 3D images. In this paper, we modify a fast level set-like algorithm by Nilsson and Heyden (2003) intended for tracking gradient-based active contours in order to obtain a fast algorithm for tracking region-based active contours driven by the Chan-Vese model. The potential of the proposed algorithm and its comparison with two other fast methods minimizing the Chan-Vese model are demonstrated on both synthetic and real image data.

In Czech

Článek pojednává o rychlém Level Set algoritmu pro aktivní kontury založené na regionech

Links

LC535, research and development project
Name: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
MSM0021622419, plan (intention)
Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
2B06052, research and development project
Name: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images