Title :
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
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;
Conference_Titel :
Computer Graphics, Imaging and Visualisation, 2006 International Conference on
Conference_Location :
Sydney, Qld.
Print_ISBN :
0-7695-2606-3
DOI :
10.1109/CGIV.2006.30
