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Reseach Article

CBIR Evaluation using Different Distances and DWT

by Omprakash Yadav, Vaishali Suryawanshi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 16
Year of Publication: 2014
Authors: Omprakash Yadav, Vaishali Suryawanshi
10.5120/16302-6126

Omprakash Yadav, Vaishali Suryawanshi . CBIR Evaluation using Different Distances and DWT. International Journal of Computer Applications. 93, 16 ( May 2014), 36-40. DOI=10.5120/16302-6126

@article{ 10.5120/16302-6126,
author = { Omprakash Yadav, Vaishali Suryawanshi },
title = { CBIR Evaluation using Different Distances and DWT },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 16 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number16/16302-6126/ },
doi = { 10.5120/16302-6126 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:56.217963+05:30
%A Omprakash Yadav
%A Vaishali Suryawanshi
%T CBIR Evaluation using Different Distances and DWT
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 16
%P 36-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, evaluation is made on the result of CBIR system based on haar wavelet transform with different distances for similarity matching to calculate the deviation from query image. So, different distances used are Chessboard distance, Cityblock distance and Euclidean distance. In this paper 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. Comparison is made between different distances to see the best suited distance for CBIR. The wavelet used is "Haar". Haar has compact support and it is the simplest orthogonal wavelet. It is very fast also.

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Index Terms

Computer Science
Information Sciences

Keywords

CBIR QBIC Precision Recall Query Image Distances Efficiency HAAR Chessboard Distance City Block Distance Euclidean Distance.