Colour and Texture Features for Content Based Image Retrieval

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International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)

Sydney, Australia

July 26-July 28

ISBN: 0-7695-2606-3

	ASCII Text	x
	Lenina Birgale, Manesh Kokare, Dharmpal Doye, "Colour and Texture Features for Content Based Image Retrieval," Computer Graphics, Imaging and Visualization, International Conference on, pp. 146-149, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006.

	BibTex	x
	@article{ 10.1109/CGIV.2006.30, author = {Lenina Birgale and Manesh Kokare and Dharmpal Doye}, title = {Colour and Texture Features for Content Based Image Retrieval}, journal ={Computer Graphics, Imaging and Visualization, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2606-3}, pages = {146-149}, doi = {http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.30}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Graphics, Imaging and Visualization, International Conference on TI - Colour and Texture Features for Content Based Image Retrieval SN - 0-7695-2606-3 SP146 EP149 A1 - Lenina Birgale, A1 - Manesh Kokare, A1 - Dharmpal Doye, PY - 2006 KW - null VL - 0 JA - Computer Graphics, Imaging and Visualization, International Conference on ER -

Lenina Birgale, Shri Guru Gobind Singhij Institute of Engineering and Technology, India

Manesh Kokare, Shri Guru Gobind Singhij Institute of Engineering and Technology, India

Dharmpal Doye, Shri Guru Gobind Singhij Institute of Engineering and Technology, India

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.30

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 2x2 subbands. 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.

Citation:

Lenina Birgale, Manesh Kokare, Dharmpal Doye, "Colour and Texture Features for Content Based Image Retrieval," cgiv, pp.146-149, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006

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