Title :
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
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;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413007