An efficient wood image retrieval using SURF descriptor

Author

Huang, ShaoLi ; Cheng Cai ; Zhao, FengFu ; He, Dongjian ; Zhang, Yang

Author_Institution

Coll. of Inf. Eng., Northwest A&F Univ., Yangling, China

Volume

2

fYear

2009

fDate

5-6 Dec. 2009

Firstpage

55

Lastpage

58

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.

Keywords

content-based retrieval; feature extraction; image matching; image retrieval; image texture; SURF descriptor; image matching; speeded up robust features; wood image retrieval system; Asia; Content based retrieval; Data mining; Educational institutions; Electronic equipment testing; Face detection; Image retrieval; Mechanical variables measurement; Robustness; Space technology; SURF; Wood image retrieval; content based image retrieval; feature point;

fLanguage

English

Publisher

ieee

Conference_Titel

Test and Measurement, 2009. ICTM '09. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4699-5

Type

conf

DOI

10.1109/ICTM.2009.5413007

Filename

5413007