Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

A Study of Image Segmentation Based on Level Set Method

Authors
Xiao wei Chang, Dao wang Li, Yi hong Xu
Corresponding Author
Xiao wei Chang
Available Online August 2013.
DOI
10.2991/icacsei.2013.91How to use a DOI?
Keywords
Image segmentation, level set, active contour mode.
Abstract

Geometric active contour model has many advantages over parametric active contour model, such as computational simplicity and the ability to change curve topology during deformation, et al. The level set method is a class of curve evolution methods based on the geometry active contour model. Level set method coupled with curve evolution theory conquers many limitations of traditional snakes, which widens the utilization of active contours model. Moreover, by analyzing latest level set method, this paper summarizes the research, development and applications of active contour model. Finally, this paper points out future research orientations on the theories and applications research of level set method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icacsei.2013.91
ISSN
1951-6851
DOI
10.2991/icacsei.2013.91How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao wei Chang
AU  - Dao wang Li
AU  - Yi hong Xu
PY  - 2013/08
DA  - 2013/08
TI  - A Study of Image Segmentation Based on Level Set Method
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 360
EP  - 363
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.91
DO  - 10.2991/icacsei.2013.91
ID  - Chang2013/08
ER  -