Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation

Authors
Yan Yu, Chaobing Huang, Ling Li
Corresponding Author
Yan Yu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.130How to use a DOI?
Keywords
GACM, mediccal image segmentation, intensity imhomogeneity, C-V model.
Abstract

Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images. However, image information in local region is not incorporated in popular region-based active contour models, such as piecewise constant models and piecewise smooth models. In this paper, a method which is able to use local information is proposed. The main point is the introduction of the local fitting information expressed by a kernel function which is crucial for segmentation. Our method is based on piecewise constant Chan-Vese model, and compare with different methods for several synthetic images and medical images.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.130How 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  - Yan Yu
AU  - Chaobing Huang
AU  - Ling Li
PY  - 2014/05
DA  - 2014/05
TI  - A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 539
EP  - 542
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.130
DO  - https://doi.org/10.2991/iccia.2012.130
ID  - Yu2014/05
ER  -