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Content based Image Retrieval using Clustering

by Swapna Borde, Udhav Bhosle
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 19
Year of Publication: 2012
Authors: Swapna Borde, Udhav Bhosle
10.5120/9808-4208

Swapna Borde, Udhav Bhosle . Content based Image Retrieval using Clustering. International Journal of Computer Applications. 60, 19 ( December 2012), 20-27. DOI=10.5120/9808-4208

@article{ 10.5120/9808-4208,
author = { Swapna Borde, Udhav Bhosle },
title = { Content based Image Retrieval using Clustering },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 19 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number19/9808-4208/ },
doi = { 10.5120/9808-4208 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:07:25.301471+05:30
%A Swapna Borde
%A Udhav Bhosle
%T Content based Image Retrieval using Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 19
%P 20-27
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents novel techniques for image retrieval using the clustering features extracted from images based on Row Mean Clustering, Column Mean clustering, Row Mean DCT Clustering ,Column Mean DCT Clustering, Row Mean Wavelet Clustering and Column Mean Wavelet Clustering. The proposed techniques are compared with well known traditional technique such as Hierarchical Clustering. Hierarchical clustering starts by calculating the Euclidean distance measure for all patterns in data set, which is not required to calculate in proposed techniques. Hence number of clusters used for comparison of proposed techniques is less as compared to existing technique (Hierarchical Clustering). All the CBIR techniques are implemented on a database having 665 images spread across 31 classes. The results of proposed techniques have shown performance improvement (higher precision and Recall) as compared to existing technique at reduced computations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval (CBIR) Row Mean Clustering (RMC) Column Mean Clustering (CMC) Row Mean DCT Clustering (RMDC) Column Mean DCT Clustering (CMDC) Row Mean Wavelet Clustering (RMWC) and Column Mean Wavelet Clustering (CMWC) and Hierarchical Clustering (HC)

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