模式识别与人工智能
Wednesday, Apr. 2, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2012, Vol. 25 Issue (3): 397-405    DOI:
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
Image Segmentation Using Cloud Model and Data Field
WU Tao1,2,QIN Kun3
1.State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072
2.School of Information Science and Technology,Zhanjiang Normal University,Zhanjiang 524048
3.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079

Download: PDF (598 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  

An image thresholding method is proposed to select the optimal threshold for image segmentation. The data field is introduced to map the original image from grayscale space to the corresponding potential space by the proposed method, and the relative and the absolute data fields are produced with two different mass functions. Then, by considering the features of the data fields and combining the global and the local statistical characteristics of the image, a potential threshold for data field can be yielded. Next, the pixels are divided into possible backgrounds and objects, which are represented with background and object cloud models generated by backward cloud generator. According to the membership degrees of pixels over two cloud models, the final result of image thresholding is obtained by maximum determination method. It is indicated by the experiments that the proposed method yields accurate and robust result, and it is reasonable and effective.

Key wordsImage Thresholding      Cognitive Physics      Uncertainty      Cloud Model      Data Field     
Received: 13 April 2011     
ZTFLH: TP391  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
WU Tao
QIN Kun
Cite this article:   
WU Tao,QIN Kun. Image Segmentation Using Cloud Model and Data Field[J]. , 2012, 25(3): 397-405.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I3/397
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