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Enhancing the Precision of Walsh Wavelet Based Approach for Color and Texture Feature Extraction in CBIR by Including a Shape Feature Cover

Enhancing the Precision of Walsh Wavelet Based Approach for Color and Texture Feature Extraction in CBIR by Including a Shape Feature

Cybernetics and Information Technologies
Volume 13 (2013): Issue 2 (June 2013)
By: M. Rakhee,  V. K. Govindan and  Baiju Karun  
Open Access
|May 2013

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DOI: https://doi.org/10.2478/cait-2013-0018 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 97 - 106
Published on: May 21, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Content Based Image Retrieval (CBIR),
Walsh transform,
Walshlet,
Walsh wavelet,
shape feature,
edge detection,
Roberts,
Sobel,
Prewitt,
Canny
Related subjects:
Computer sciences,
Information technology

© 2013 M. Rakhee, V. K. Govindan, Baiju Karun, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

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