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Comparative Evaluation of Transform and Cluster based CBIR

by Seema Anand Chaurasia, Omprakash Yadav, Vaishali Suryawanshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 6
Year of Publication: 2014
Authors: Seema Anand Chaurasia, Omprakash Yadav, Vaishali Suryawanshi
10.5120/17381-7917

Seema Anand Chaurasia, Omprakash Yadav, Vaishali Suryawanshi . Comparative Evaluation of Transform and Cluster based CBIR. International Journal of Computer Applications. 99, 6 ( August 2014), 42-51. DOI=10.5120/17381-7917

@article{ 10.5120/17381-7917,
author = { Seema Anand Chaurasia, Omprakash Yadav, Vaishali Suryawanshi },
title = { Comparative Evaluation of Transform and Cluster based CBIR },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 6 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number6/17381-7917/ },
doi = { 10.5120/17381-7917 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:32.429417+05:30
%A Seema Anand Chaurasia
%A Omprakash Yadav
%A Vaishali Suryawanshi
%T Comparative Evaluation of Transform and Cluster based CBIR
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 6
%P 42-51
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, comparative evaluation is made on the result of CBIR system based on transform based Image retrieval and cluster based Image retrieval by taking Euclidean distance as similarity measure to calculate the deviation from query image. In transform based image retrieval discrete wavelet transform is used to decompose the image. The image is decomposed till sixth level and last level approximate component is saved as feature vector. For cluster based Image retrieval LBG algorithm is used. Comparisons are made between results of transform based Image retrieval and cluster based Image Retrieval. In this paper two experiments are carried out on COIL database images, first on 720 images having 10 different classes and second on 1440 images of 20 different classes.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CBIR QBIC Precision Recall Query Image Precision Recall HAAR LBG Euclidean Distance.

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