SIA OpenIR  > 机器人学研究室
Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method
Wang ZZ(王振洲); Yang YM(杨永明)
Department机器人学研究室
Conference Name4th National Conference on Electrical, Electronics and Computer Engineering (NCEECE)
Conference DateDecember 12-13, 2015
Conference PlaceXi'an, PEOPLES R CHINA
Author of SourceInt Informatizat & Engn Assoc, Trans Tech Publicat
Source PublicationPROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015)
PublisherATLANTIS PRESS
Publication PlacePARIS
2015
Pages331-336
Indexed ByCPCI(ISTP)
WOS IDWOS:000373378400066
Contribution Rank1
ISBN978-94-6252-150-6
KeywordImage Segmentation Expectation Maximization Gibbs Distribtion
AbstractSegmentation of noisy and textured images remains challenging in both accuracy and computation efficiency. In this paper, we propose a new method for segmentation of noisy and textured images. The proposed method is based on the famous Expectation Maximization (EM) methodwhich calculates the global parameters of the image and Gibbs distribution which calculates the local parameters of the image. With the global parameters of the objects and the background computed from EM, a pre-segmentation is achieved. Then we propose a gradient descent iteration (GDI) method to achieve the final segmentation by minimizing the sum of local energy. Experimental results show that the proposed method is more effective than the state of art Normalized Cut method in segmenting noisy and textured images.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/18610
Collection机器人学研究室
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang City, PR China
Recommended Citation
GB/T 7714
Wang ZZ,Yang YM. Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method[C]//Int Informatizat & Engn Assoc, Trans Tech Publicat. PARIS:ATLANTIS PRESS,2015:331-336.
Files in This Item: Download All
File Name/Size DocType Version Access License
Segmentation of Nois(1811KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang ZZ(王振洲)]'s Articles
[Yang YM(杨永明)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang ZZ(王振洲)]'s Articles
[Yang YM(杨永明)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang ZZ(王振洲)]'s Articles
[Yang YM(杨永明)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Segmentation of Noisy and Textured Images by an Expectation Maximization and Gradient Descent Iteration Method.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.