Research Article
CBIR Evaluation using Different Distances and DWT
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 93 - Issue 16 |
| Published: May 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 },
year = { 2014 },
volume = { 93 },
number = { 16 },
pages = { 36-40 },
doi = { 10.5120/16302-6126 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Omprakash Yadav
%A Vaishali Suryawanshi
%T CBIR Evaluation using Different Distances and DWT%T
%J International Journal of Computer Applications
%V 93
%N 16
%P 36-40
%R 10.5120/16302-6126
%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.
References
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