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