Active Contour Model Based on Nonlocal Means Method For Color Texture Segmentation

DOI

10.2991/icmemtc-16.2016.325How to use a DOI?

Keywords

Color texture segmentation; Active contour model; Nonlocal Tikhonov regularization; Image slice similarity; Split-Bregman algorithm

Abstract

Color texture segmentation is a very important subject in the fields of computer vision. In order to segment the color textures, a new method based on active contour model with nonlocal Tikhonov regularization is proposed. In detail, another smoothness item which is the Tikhonov regularization is added in the traditional active contour model. Meanwhile the nonlocal operator which is based on the image slice similarity is joined in the smoothness item. What's more, in order to improve the computation efficiency, this paper designs the Split-Bregman algorithm. At last, our performance is demonstrated by segmenting many complex and real texture images.

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/).

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TY  - CONF
AU  - Jingge Lu
AU  - Guodong Wang
AU  - Zhenkuan Pan
PY  - 2016/04
DA  - 2016/04
TI  - Active Contour Model Based on Nonlocal Means Method For Color Texture Segmentation
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1719
EP  - 1724
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.325
DO  - 10.2991/icmemtc-16.2016.325
ID  - Lu2016/04
ER  -