Colour and Texture Features for Content Based Image Retrieval

Author

Birgale, Lenina ; Kokare, Manesh ; Doye, Dharmpal

Author_Institution

Dept. of Electron. & Telecommun. Eng., Shri Guru Gobind Singhij Inst. of Eng. & Technol., Vishnupuri

fYear

2006

fDate

26-28 July 2006

Firstpage

146

Lastpage

149

Abstract

The novel approach combines colour and texture features for content based image retrieval. Features like colour and texture are obtained by computing the measure of standard deviation in combination with energy on each colour band of image and sub band of wavelet. Wavelet transform is used for decomposing the image into 2times2 sub-bands. Feature database in content-based image retrieval of 640 visual texture (VisTex) color images is constructed. It is observed that proposed method outperforms the other conventional histograms and standard wavelet decomposition techniques

Keywords

content-based retrieval; image colour analysis; image texture; visual databases; wavelet transforms; VisTex; color images; content based image retrieval; feature database; image decomposition; standard deviation; visual texture; wavelet decomposition techniques; wavelet transform; Color; Content based retrieval; Energy measurement; Image databases; Image retrieval; Information retrieval; Measurement standards; Spatial databases; Visual databases; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualisation, 2006 International Conference on

Conference_Location

Sydney, Qld.

Print_ISBN

0-7695-2606-3

Type

conf

DOI

10.1109/CGIV.2006.30

Filename

1663781