模式识别与人工智能
Friday, Apr. 4, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2013, Vol. 26 Issue (8): 751-760    DOI:
article Current Issue| Next Issue| Archive| Adv Search |
Survey of Image Segmentation Based on Active Contour Model
WANG Xiang-Hai1, 2, FANG Ling-Ling1, 3
1. College of Computer and Information Technology, Liaoning Normal University, Dalian 116029
2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006
3. School of Computer Science and Technology, Soochow University, Suzhou 215006

Download: PDF (533 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

Image segmentation based on active contour model(ACM)is a hotspot in computer vision. Firstly, the mathematical model of ACM and the related numerical implementation are discussed. Secondly, two development models of ACM are summarized in contrast: parameter active contour model and geometry contour model. The comparative study of these two kinds of models and the deep discussion on the scope of image segmentation application and advantages and disadvantages of each kind of techniques are carried out. Finally, the directions of future development in ACM are pointed out.

Key wordsParameter Active Contour Model      Geometry Active Contour Model      Contour Curve Evolution      Level Set Function      Topological Structure     
Received: 05 March 2013     
ZTFLH: TP391  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
WANG Xiang-Hai
FANG Ling-Ling
Cite this article:   
WANG Xiang-Hai,FANG Ling-Ling. Survey of Image Segmentation Based on Active Contour Model[J]. , 2013, 26(8): 751-760.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I8/751
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn