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Energy based Comparative Study of CBIR Techniques and a Novel approach of Image Splitting in the Frequency Domain for Efficient Retrieval

by H. B. Kekre, Archana B. Patankar, Aniruddh Munde, Disha Madhrani, Dheeraj Nagpal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 13
Year of Publication: 2012
Authors: H. B. Kekre, Archana B. Patankar, Aniruddh Munde, Disha Madhrani, Dheeraj Nagpal
10.5120/5604-7862

H. B. Kekre, Archana B. Patankar, Aniruddh Munde, Disha Madhrani, Dheeraj Nagpal . Energy based Comparative Study of CBIR Techniques and a Novel approach of Image Splitting in the Frequency Domain for Efficient Retrieval. International Journal of Computer Applications. 41, 13 ( March 2012), 31-35. DOI=10.5120/5604-7862

@article{ 10.5120/5604-7862,
author = { H. B. Kekre, Archana B. Patankar, Aniruddh Munde, Disha Madhrani, Dheeraj Nagpal },
title = { Energy based Comparative Study of CBIR Techniques and a Novel approach of Image Splitting in the Frequency Domain for Efficient Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 13 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number13/5604-7862/ },
doi = { 10.5120/5604-7862 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:32.772033+05:30
%A H. B. Kekre
%A Archana B. Patankar
%A Aniruddh Munde
%A Disha Madhrani
%A Dheeraj Nagpal
%T Energy based Comparative Study of CBIR Techniques and a Novel approach of Image Splitting in the Frequency Domain for Efficient Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 13
%P 31-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a comparative study of the existing Content Based Image Retrieval (CBIR) techniques is presented. Also a novel idea of tiling the images after transforming them into the frequency domain is proposed. The transformed images are broken down into fragments of 4X4 and feature extraction is done after taking the average of the energies of the corresponding fragments, while always selecting the highest energy coefficient. This approach provided the highest crossover point of 0. 602 for Kekre Complete Transform. The compared techniques were applied to a database of 600 images spread over 12 different categories. The comparison of transforms considers 99. 5% of the total energy contained in a query image and uses only those transform coefficients which contribute to this energy. The results obtained from such a novel energy based comparison show that the percentage of feature vector coefficients to be used for query execution can be as low as 12. 89% as seen for Haar Column Transform.

References
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  4. H. B. Kekre, Sudeep D. Thepade, "Boosting Block Truncation Coding using Kekre's LUV Color Space for Image Retrieval", WASET Int. Journal of Electrical, Computer and System Engineering (IJECSE), Vol. 2, Num. 3, Summer 2008.
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  19. Image Source: http://www. mp-webspace4. com/media/iStock_000000466_1. jpg
  20. Image Source: http://www. schroedersorchard. com/Schroedersorchard/Contact_Us_files/red%20apple_6. png
  21. Image Source: http://www. popular-toys. com/wp-content/uploads/2011/01/barbieclassic. jpg
  22. Macmillan Digital Publishing, BPB 555,000 Graphics pack.
  23. Dr. H. B. Kekre, Dhirendra Mishra, Anirudh Kariwala, "A Survey of CBIR Techniques and Semantics", International Journal of Engineering Science and Technology (IJEST), Vol. 3, No. 5, May 2011, pp. 4510-4517.
Index Terms

Computer Science
Information Sciences

Keywords

Cbir Row Mean Column Mean Image Transform Dct Dst Haar Hartley Kekre Walsh Image Splitting Energy Compaction Precision Recall Lsrr

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