A robust region_based active contours model for image segmentation

DOI

10.2991/icaise.2013.39How to use a DOI?

Keywords

Image segmentation, Active contours model, Intensity inhomogeneities, Initial contours, Noise

Abstract

A novel region_based active contours model is proposed to deal with the images with intensity inhomogeneities and weak boundaries. For the proposed model, new global force and local force which compose hybrid energy functional are defined. Then, the energy functional is incorporated into a variational level set formulation. Furthermore, we regularize the level set function by using Gaussian filtering to keep it smooth and eliminate the re-initialization. In addition, the proposed model can degrade to a new global CV model. Experiments results show that the proposed model can not only segment images with intensity inhomogeneities and weak boundaries, but also robust to the noise, initial contours. And, it has high computational efficiency.

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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TY  - CONF
AU  - Jiandong Bao
AU  - Fan Jiang
PY  - 2013/08
DA  - 2013/08
TI  - A robust region_based active contours model for image segmentation
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 185
EP  - 189
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.39
DO  - 10.2991/icaise.2013.39
ID  - Bao2013/08
ER  -