Image Segmentation Based on Hybrid Adaptive Active Contour

被引:1
作者
Soudani, Amira [1 ]
Zagrouba, Ezzeddine [1 ]
机构
[1] Univ Tunis El Manar, Equipe Rech SIIVA, Lab RIADI, Inst Super Informat, Ariana 2080, Tunisia
来源
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2015) | 2015年 / 9121卷
关键词
Segmentation; Active contour; Region based method; Level set methods; DRIVEN; MODEL;
D O I
10.1007/978-3-319-19644-2_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we focus on segmentation based active contour model. In fact, we present an hybrid adaptive active contour segmentation algorithm. In this approach, we merge a global and an adaptive local based active contour models in order to segment images. The proposed energy is then minimized based on level set method. Experiments shows the good segmentation results provided by the proposed method.
引用
收藏
页码:146 / 156
页数:11
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