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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
Authors

Authors

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.

Volume 13 (2013): Issue 2 (June 2013)
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