Unsupervised color texture segmentation using active contour model and oscillating information

Jinpeng Zhang; Guodong Wang; Zhenkuan Pan; Baoxiang Huang

doi:10.1117/12.2268535

17 March 2017 Unsupervised color texture segmentation using active contour model and oscillating information

Jinpeng Zhang, Guodong Wang, Zhenkuan Pan, Baoxiang Huang

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034116 (2017) https://doi.org/10.1117/12.2268535
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Jinpeng Zhang, Guodong Wang, Zhenkuan Pan, and Baoxiang Huang "Unsupervised color texture segmentation using active contour model and oscillating information", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034116 (17 March 2017); https://doi.org/10.1117/12.2268535

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