NDLI: An efficient wood image retrieval using SURF descriptor

Content Provider	IEEE Xplore Digital Library
Author	ShaoLi Huang Cheng Cai FengFu Zhao DongJian He Yang Zhang
Copyright Year	2009
Description	Author affiliation: College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China (DongJian He; Yang Zhang) \|\| College of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China (ShaoLi Huang; Cheng Cai; FengFu Zhao)
Abstract	In this paper, we propose a new and effective wood image retrieval scheme based on Speeded Up Robust Features (SURF). In our work, we extract SURF feature points and perform matching based on the texture information around the feature points using SURF method. This scheme can be adopted in most existing wood image retrieval systems and improve their retrieval accuracy and efficiency. Our several experiments show that the proposed scheme achieves high accuracy and stability by using SURF descriptor in wood image retrieval.
Starting Page	55
Ending Page	58
File Size	967490
Page Count	4
File Format	PDF
ISBN	9781424446995
DOI	10.1109/ICTM.2009.5413007
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-05
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Image retrieval Electronic equipment testing Educational institutions Data mining Face detection Content based image retrieval SURF Feature point Wood image retrieval Space technology Asia Mechanical variables measurement Robustness
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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