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Published Articles >> Table of Contents >> Abstract
International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06)
pp. 146-149
Colour and Texture Features for Content Based Image Retrieval
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
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.30
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| Abstract |
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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.
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 Additional Information
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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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