DocumentCode :
1610662
Title :
A simple texture descriptor for texture retrieval
Author :
Liu, Ying ; Zhou, Xiaofang
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Australia
Volume :
2
fYear :
2003
Firstpage :
1662
Abstract :
Texture feature extraction is an important part in content-based image retrieval system. This paper describes a simple and effective texture feature extraction algorithm. Previous work based on image decomposition techniques usually use mean and variance of each subband in decomposition domain to form texture descriptor. The proposed texture descriptor uses the variance information and the luminance property of the texture to form the descriptor. Experimental results on the Brodatz texture database show that the proposed descriptor can provide comparable retrieval performance with approximately only half the number of features used compared with previous work.
Keywords :
brightness; computer graphics; content-based retrieval; discrete cosine transforms; discrete wavelet transforms; feature extraction; image texture; Brodatz texture database; content-based image retrieval system; luminance property; simple texture descriptor; texture feature extraction; texture retrieval; variance information; Content based retrieval; Discrete cosine transforms; Discrete wavelet transforms; Feature extraction; Image databases; Image retrieval; Indexing; Information retrieval; Multimedia communication; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
Print_ISBN :
7-5635-0686-1
Type :
conf
DOI :
10.1109/ICCT.2003.1209846
Filename :
1209846
Link To Document :
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