CASIA OpenIR  > 中国科学院分子影像重点实验室
Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization
Yu, Dongdong1; Yang, Feng2; Yang, Caiyun1; Leng, Chengcai3; Cao, Jian4,5; Wang, Yining4,5; Tian, Jie1
Source PublicationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
2016-08-01
Volume63Issue:8Pages:1653-1664
SubtypeArticle
AbstractImage registration is a key problem in a variety of applications, such as computer vision, medical image processing, pattern recognition, etc., while the application of registration is limited by time consumption and the accuracy in the case of large pose differences. Aimed at these two kinds of problems, we propose a fast rotation-free feature-based rigid registration method based on our proposed accelerated-NSIFT and GMM registration based parallel optimization (PO-GMMREG). Our method is accelerated by using the GPU/CUDA programming and preserving only the location information without constructing the descriptor of each interest point, while its robustness to missing correspondences and outliers is improved by converting the interest point matching to Gaussian mixture model alignment. The accuracy in the case of large pose differences is settled by our proposed PO-GMMREG algorithm by constructing a set of initial transformations. Experimental results demonstrate that our proposed algorithm can fast rigidly register 3-D medical images and is reliable for aligning 3-D scans even when they exhibit a poor initialization.
KeywordAccelerated Nsift Medical Imaging Parallel OptimizatiOn Based On Gaussian Mixture Model Rigid Image Registration Rotation-free
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TBME.2015.2465855
WOS KeywordALGORITHM ; ACCURACY
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China (973 Program)(2011CB707700) ; National Natural Science Foundation of China(81227901 ; Chinese Academy of Sciences(2013Y1GB0005) ; National High Technology Research and Development Program of China (863 Program)(2012AA021105) ; Guangdong Province-Chinese Academy of Sciences(2010A090100032 ; NSFC-NIH(81261120414) ; Beijing Natural Science Foundation(4132080) ; Fundamental Research Funds for the Central Universities(2013JBZ014) ; National Basic Research Program of China(61301002) ; State Key Laboratory of Management and Control for Complex Systems(20140101) ; 61231004 ; 2012B090400039) ; 61363049)
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000380325000010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12171
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China
2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China
3.Nanchang Hangkong Univ, Sch Math & Informat Sci, Nanchang, Peoples R China
4.Chinese Acad Med Sci, Peking Union Med Coll Hosp, Dept Radiol, Beijing, Peoples R China
5.Peking Union Med Coll, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yu, Dongdong,Yang, Feng,Yang, Caiyun,et al. Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2016,63(8):1653-1664.
APA Yu, Dongdong.,Yang, Feng.,Yang, Caiyun.,Leng, Chengcai.,Cao, Jian.,...&Tian, Jie.(2016).Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,63(8),1653-1664.
MLA Yu, Dongdong,et al."Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63.8(2016):1653-1664.
Files in This Item: Download All
File Name/Size DocType Version Access License
29220502g41o.pdf(839KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu, Dongdong]'s Articles
[Yang, Feng]'s Articles
[Yang, Caiyun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu, Dongdong]'s Articles
[Yang, Feng]'s Articles
[Yang, Caiyun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu, Dongdong]'s Articles
[Yang, Feng]'s Articles
[Yang, Caiyun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 29220502g41o.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

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