Unsupervised Color Texture Segmentation Using Active Contour Model and Oscillating Information

被引：1
|
作者：
Zhang, Jinpeng [1 ]
Wang, Guodong [1 ]
Pan, Zhenkuan [1 ]
Huang, Baoxiang [1 ]
机构：
[1] Qingdao Univ, Coll Informat Engn, Qingdao 266071, Peoples R China
来源：
NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016) | 2017年 / 10341卷
关键词：
Color image; texture segmentation; Split Bregman algorithm; Active contour model; MTV; SNAKES;
D O I：
10.1117/12.2268535
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：7
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