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Content Based Image Retrieval using Wavelet based MultiResolution Analysis
International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 40 - Number 6
Year of Publication: 2012
|
10.5120/4959-7216 |
Kalyanasundaram.K. and Sanoj.C.S.. Article: Content Based Image Retrieval using Wavelet based MultiResolution Analysis. International Journal of Computer Applications 40(6):14-18, February 2012. Full text available. BibTeX
@article{key:article,
author = {Kalyanasundaram.K. and Sanoj.C.S.},
title = {Article: Content Based Image Retrieval using Wavelet based MultiResolution Analysis},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {40},
number = {6},
pages = {14-18},
month = {February},
note = {Full text available}
}
Abstract
Content Based Image Retrieval (CBIR) is an emerging area of engineering application focusing on algorithms and methods to extract image features from a query image and retrieve similar images from large archives. It has found extensive application in medical imaging for both retrieval and automatic archiving. In this paper it is proposed to extract features using wavelet based multiresolution analysis and measure the classification accuracy of Naive Bayes and K Nearest Neighbor (K-NN) algorithm.
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