DocumentCode :
2358500
Title :
Texture Content-Based Image Retrieval for Necktie Pattern
Author :
Liu, Chun-Ying ; Pan, Zhi-geng ; Dong, Jin-xiang
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
fYear :
2009
fDate :
25-27 Aug. 2009
Firstpage :
1743
Lastpage :
1746
Abstract :
By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern´s eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The experiment results are satisfying.
Keywords :
content-based retrieval; eigenvalues and eigenfunctions; feature extraction; image colour analysis; image retrieval; image texture; wavelet transforms; Gabor wavelet transformation; color separation; eigenvector; multiple-angle rotate-invariant similarity definition; necktie pattern; pattern extraction; texture content-based image retrieval; Content based retrieval; Data mining; Educational institutions; Feature extraction; Image analysis; Image retrieval; Image segmentation; Image texture analysis; Pattern analysis; Space technology; Content-Based Image Retrieval; Gabor Wavelet Transformation; Necktie Pattern; Texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
Type :
conf
DOI :
10.1109/NCM.2009.160
Filename :
5331350
Link To Document :
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