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Content Based Image Retrieval using Wavelet based MultiResolution Analysis

by Kalyanasundaram.K., Sanoj.C.S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 40 - Number 6
Year of Publication: 2012
Authors: Kalyanasundaram.K., Sanoj.C.S.
10.5120/4959-7216

Kalyanasundaram.K., Sanoj.C.S. . Content Based Image Retrieval using Wavelet based MultiResolution Analysis. International Journal of Computer Applications. 40, 6 ( February 2012), 14-18. DOI=10.5120/4959-7216

@article{ 10.5120/4959-7216,
author = { Kalyanasundaram.K., Sanoj.C.S. },
title = { Content Based Image Retrieval using Wavelet based MultiResolution Analysis },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 40 },
number = { 6 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume40/number6/4959-7216/ },
doi = { 10.5120/4959-7216 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:27:49.219786+05:30
%A Kalyanasundaram.K.
%A Sanoj.C.S.
%T Content Based Image Retrieval using Wavelet based MultiResolution Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 40
%N 6
%P 14-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval Multiresolution Haar Transform Naive Bayes k-Nearest Neighbor

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