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International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)
Colour and Texture Features for Content Based Image Retrieval
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
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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