模式识别与人工智能
Friday, May. 2, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2011, Vol. 24 Issue (5): 604-609    DOI:
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
Automatic Image Segmentation Method Based on Graph Cuts
GUO Bao-Long, HOU Ye
Institute of ICIE, School of Electronical Mechanical Engineering, Xidian University, Xian 710071

Download: PDF (419 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Aiming at graph cuts majoring in interactive image segmentation, an automatic image segmentation method based on graph cuts is proposed. It can be used in both segmenting color images and segmenting gray images. In this method, the data item and the smooth item of the energy function are established after initialization. The energy function is solved by graph cuts. The series of steps are implemented iteratively until certain condition is met. The method does not need to make any constraints, build image model or estimate data distribution. It obtains good segmentation result rapidly. Gray images and color images are segmented by experiments. The experimental results show that the proposed approach is favorable.
Key wordsImage Processing      Image Segmentation      Graph Cuts     
Received: 26 September 2010     
ZTFLH: TP391  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
GUO Bao-Long
HOU Ye
Cite this article:   
GUO Bao-Long,HOU Ye. Automatic Image Segmentation Method Based on Graph Cuts[J]. , 2011, 24(5): 604-609.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2011/V24/I5/604
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