Active contours algorithm with an adaptive gaussian distribution fitting energies and its application to industrial CT image segmentation

DOI

10.2991/icmii-15.2015.21How to use a DOI?

Keywords

Image segmentation; intensity inhomogeneity; Level set method; LBF model; industrial CT images

Abstract

In image segmentation, Local binary fitting model (LBF) is widely used to cope with intensity inhomogeneity. It is insensitive to the initial contour with a large scale parameter and it can make the active contours become smooth and close to the object of the real border with the reduction of scale parameters. For the purpose of enhancing the quality of intensity inhomogeneity image segmentation, we advance a new adaptive rule to obtain the scale parameter. Experimental results on industrial CT image demonstrate that our method is insensitive to the initial contour and accurate for extracting the object.

Copyright

© 2015, 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  - Xiao Luo
AU  - Yongning Zou
PY  - 2015/10
DA  - 2015/10
TI  - Active contours algorithm with an adaptive gaussian distribution fitting energies and its application to industrial CT image segmentation
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 107
EP  - 113
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.21
DO  - 10.2991/icmii-15.2015.21
ID  - Luo2015/10
ER  -