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A Collaborative Approach to Enhance CBIR Performance using DCT, DST and Kekre's Transform

by Avanish Tiwari, Anurag Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 18
Year of Publication: 2015
Authors: Avanish Tiwari, Anurag Jain
10.5120/20076-2099

Avanish Tiwari, Anurag Jain . A Collaborative Approach to Enhance CBIR Performance using DCT, DST and Kekre's Transform. International Journal of Computer Applications. 114, 18 ( March 2015), 6-11. DOI=10.5120/20076-2099

@article{ 10.5120/20076-2099,
author = { Avanish Tiwari, Anurag Jain },
title = { A Collaborative Approach to Enhance CBIR Performance using DCT, DST and Kekre's Transform },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 18 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number18/20076-2099/ },
doi = { 10.5120/20076-2099 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:06.583504+05:30
%A Avanish Tiwari
%A Anurag Jain
%T A Collaborative Approach to Enhance CBIR Performance using DCT, DST and Kekre's Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 18
%P 6-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content based Image retrieval is a process which will enhance the image searching accuracy. Many researchers are working on image processing. CBIR approach uses different techniques such as colour, texture and shape, by processing this feature vector is generated and comparison is done. CBIR approach can be used in many places such as search engines, patent registration, face detection etc. CBIR approach can also be used for security. It can encrypt and decrypt the image content to provide security. Stenography along with CBIR can generate algorithm which makes data more secure. CBIR can help in many fields only by referring image content. In this paper new approach "Hybrid approach" is implemented. Hybrid approach is a combination of different transforms. Combination of DCT, DST and kekre's transforms are used for feature vector generation. For image matching and distance calculation, two methods are used in this paper known as Euclidian distance and absolute distance method. In this paper, different transforms are combined to generate a hybrid approach. Results of different hybrid approaches are compared in this paper. It includes comparison of all the algorithms based on their performance by comparing different performance parameters such as precision and recall to determine which algorithm is providing the best result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Feature Vector Transform Sectorization Spatial Domain Frequency Domain Similarity Measures Hybrid transform Collaborative transform combining different transforms

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