Active Contours with Automatic "Rectify a Deviation"

DOI

10.2991/icca-16.2016.38How to use a DOI?

Keywords

Image segmentation, Automatic, Rectify a deviation, Active contour, C-V model, Partial differential equation ( PDE)

Abstract

Aiming at the shortcomings of Chan-Vese (C-V) model, using the method of literature and experimental method, based on C-V model, whose length term is changed into an automatic "rectify a deviation" term, using the adaptive parameters, an active contour model with automatic "rectify a deviation" is proposed, The experimental results show that this model can handle images with intensity inhomogeneity and strong noise, the segmentation speed is fast.

Copyright

© 2016, 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)

TY  - CONF
AU  - Shaohua Zhang
AU  - Yuanfeng Luo
AU  - Jin Qin
PY  - 2016/01
DA  - 2016/01
TI  - Active Contours with Automatic "Rectify a Deviation"
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 165
EP  - 167
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.38
DO  - 10.2991/icca-16.2016.38
ID  - Zhang2016/01
ER  -