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Proceedings Paper

Unsupervised color texture segmentation using active contour model and oscillating information
Author(s): Jinpeng Zhang; Guodong Wang; Zhenkuan Pan; Baoxiang Huang
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Paper Abstract

It is common that textures occur in real-word color image, moreover, textures could cause difficulties in image segmentation. For the purpose of solving those difficulties, we put forward a new model. In this model we only need the structural and oscillating components’ information of the real color image. This model is based on the VO model, MTV and active contour models. We will use the fast Split Bregman algorithm to solve this model. The results of our model is mentioned in numerical experiments.

Paper Details

Date Published: 17 March 2017
PDF: 7 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034116 (17 March 2017); doi: 10.1117/12.2268535
Show Author Affiliations
Jinpeng Zhang, Qingdao Univ. (China)
Guodong Wang, Qingdao Univ. (China)
Zhenkuan Pan, Qingdao Univ. (China)
Baoxiang Huang, Qingdao Univ. (China)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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