TY - GEN
T1 - Texture image retrieval using non-separable wavelets and local binary patterns
AU - Liu, Xin
AU - You, Xinge
AU - CHEUNG, Yiu Ming
PY - 2009
Y1 - 2009
N2 - This paper proposes a new image retrieval method using non-separable discrete wavelets (NDWT) and local binary patterns (LBP). Compared with the traditional wavelet, the three high frequency sub-images generated by the non-separable wavelets can extract more information and do not extensively focus on the three special directions any more. Further, local image texture and their occurrence histogram called local binary pattern (LBP) are a very powerful texture feature in spatial domain. Experimental results demonstrate the efficacy of the proposed algorithm in comparison with the existing related algorithms.
AB - This paper proposes a new image retrieval method using non-separable discrete wavelets (NDWT) and local binary patterns (LBP). Compared with the traditional wavelet, the three high frequency sub-images generated by the non-separable wavelets can extract more information and do not extensively focus on the three special directions any more. Further, local image texture and their occurrence histogram called local binary pattern (LBP) are a very powerful texture feature in spatial domain. Experimental results demonstrate the efficacy of the proposed algorithm in comparison with the existing related algorithms.
UR - http://www.scopus.com/inward/record.url?scp=77949307422&partnerID=8YFLogxK
U2 - 10.1109/CIS.2009.181
DO - 10.1109/CIS.2009.181
M3 - Conference proceeding
AN - SCOPUS:77949307422
SN - 9780769539317
T3 - CIS 2009 - 2009 International Conference on Computational Intelligence and Security
SP - 287
EP - 291
BT - CIS 2009 - 2009 International Conference on Computational Intelligence and Security
T2 - 2009 International Conference on Computational Intelligence and Security, CIS 2009
Y2 - 11 December 2009 through 14 December 2009
ER -