A texture descriptor for textile image retrieval

Author

Carbunaru, Ana-Elena ; Coltuc, Daniela ; Jourlin, Michel ; Frangu, Laurentiu

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Dunarea de Jos of Galati, Galati, Romania

fYear

2009

fDate

9-10 July 2009

Firstpage

1

Lastpage

4

Abstract

This paper proposes a new descriptor for textures, obtained by an independent components analysis (ICA) applied to image wavelet subbands. In certain conditions, ICA refines the wavelet multiband analysis. The descriptor, consisting in the independent components (ICs) distribution parameters, serves as basis for the textile image signature in a recognition application. By using the Kullback-Liebler divergence to compare the signatures, the textile images from a 30 jacquards databasis, were recognized with average rates ranging from 89 to 94%, depending on the analysis number of levels.

Keywords

image recognition; image retrieval; image texture; independent component analysis; visual databases; wavelet transforms; Kullback-Liebler divergence; independent components analysis; jacquards databasis; recognition application; textile image retrieval; textile image signature; texture descriptor; wavelet multiband analysis; Fabrics; Image analysis; Image databases; Image processing; Image recognition; Image retrieval; Independent component analysis; Telecommunications; Textiles; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on

Conference_Location

Iasi

Print_ISBN

978-1-4244-3785-6

Electronic_ISBN

978-1-4244-3786-3

Type

conf

DOI

10.1109/ISSCS.2009.5206184

Filename

5206184