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Reseach Article

Content based Image Retrieval using Clustering

by Ashish Kumar Raikwar, Satbir Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 20
Year of Publication: 2012
Authors: Ashish Kumar Raikwar, Satbir Jain
10.5120/5810-8091

Ashish Kumar Raikwar, Satbir Jain . Content based Image Retrieval using Clustering. International Journal of Computer Applications. 41, 20 ( March 2012), 29-33. DOI=10.5120/5810-8091

@article{ 10.5120/5810-8091,
author = { Ashish Kumar Raikwar, Satbir Jain },
title = { Content based Image Retrieval using Clustering },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 20 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number20/5810-8091/ },
doi = { 10.5120/5810-8091 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:07.459938+05:30
%A Ashish Kumar Raikwar
%A Satbir Jain
%T Content based Image Retrieval using Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 20
%P 29-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To retrieve appropriate information from large image datasets, Content Based image retrieval (CBIR) is a popular approach. In this paper we use binary clustering simultaneously on target and query images to retrieve color difference. One also measure geometric spreadness of each color, using coordinate information of clusters and used it with color difference with some weighted. Experimental results show that CBIRC gives better result as compare to other binning methods and ACE.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cbir Binary Clustering Geometric Spreadness