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CBIR Evaluation using Different Distances and DWT

by Omprakash Yadav, Vaishali Suryawanshi
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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.

References
  1. Lidia Xavier, Thusnavis Bella Mary. I and Newton David Raj. W, "Content Based Image Retrieval Using Textural Features based on Pyramid structure wavelet transform", 2011 IEEE.
  2. Priyanka P. Buch, Madhuri V. Vaghasia and Sahista M. Machchhar, " Comparative analysis of content based image retrieval using both color and texture", International conference on Current Trends in Technology,2, NUiCONE, 2011 IEEE.
  3. Prabhjot Kaur and Dr. Satish Devane , "Effective method of Cbir for Time and Accuracy ", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3 Issue 11 November 2013.
  4. Vaishali S, Dr. Sachin R. Gengaje , "Literature Review of Wavelet Based Digital Image Watermarking Techniques", International Journal of Computer Applications (0975 – 8887) Volume 31– No. 1, October 2011.
  5. Swapnalini Pattanaik and prof. D. G. Bhalke, "Beginners to Content Based Image Retrieval", International Journal of Scientific Research Engineering & Technology, Volume 1 Issue2 pp 040-044 May 2012.
  6. Arnold W. M. Smeulders, Marcel Worring, Simone Santini, "Content-based image retrieval at the end of the early years". IEEE Transactions on Pattern analysis and machine intelligence, vol 22, No 12, December 2000.
  7. N S T Sai , R C Patil, "Image Retrieval using 2D Dual-Tree Discrete Wavelet Transform",. International Journal of Computer Applications (0975 – 8887), Volume 14 – No. 6,February2011.
  8. Elif Albuz, Erturk Kocalar, and Ashfaq A. Khokhar, "Scalable Color Image indexing and Retrieval Using Vector Wavelets", IEEE Transaction on Knowledge and Data engineering, vol. 13, NO. 5, Sep/Oct 2001.
  9. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker, "Query by Image and Video Content: The QBIC System", IEEE Computer,28(9):23–32,Sept. 1995.
  10. N. G. Kingsbury and T. H. Reeves, "Redundantrepresentation with complex wavelets: how to achieve sparsity", in Proc. Int. Conf. Image Processing,Barcelona, Sept. 2003.
Index Terms

Computer Science
Information Sciences

Keywords

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

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