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Reseach Article

CBIR with Various Feature Extraction Techniques using LIRS and LSRR Performance Parameter

by H. B. Kekre, Aditi Mehta, Paulami Shah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 6
Year of Publication: 2014
Authors: H. B. Kekre, Aditi Mehta, Paulami Shah
10.5120/15577-4258

H. B. Kekre, Aditi Mehta, Paulami Shah . CBIR with Various Feature Extraction Techniques using LIRS and LSRR Performance Parameter. International Journal of Computer Applications. 90, 6 ( March 2014), 10-15. DOI=10.5120/15577-4258

@article{ 10.5120/15577-4258,
author = { H. B. Kekre, Aditi Mehta, Paulami Shah },
title = { CBIR with Various Feature Extraction Techniques using LIRS and LSRR Performance Parameter },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 6 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number6/15577-4258/ },
doi = { 10.5120/15577-4258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:20.214291+05:30
%A H. B. Kekre
%A Aditi Mehta
%A Paulami Shah
%T CBIR with Various Feature Extraction Techniques using LIRS and LSRR Performance Parameter
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 6
%P 10-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In fields such as medical, art galleries, museums, archaeology, medical imaging, trademark databases, criminal investigations, images especially the digital images grow in quantities of thousands and sometimes even lakhs every year. Content based image retrieval is required from such large databases. This paper compares various CBIR techniques based on the performance evaluation parameters namely, precision, recall, LIRS and LSRR. Euclidean Distance is used for the purpose of similarity measure.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval(CBIR) Discrete Cosine Transform (DCT) Discrete Sine Transform (DST) Walsh Transform Row Mean(RM) Column Mean(CM) Row Column Mean (RCM) Forward Diagonal Mean (FDM) Backward Diagonal Mean (BDM) Forward Backward Diagonal Mean (FBDM) Euclidean distance Precision Recall Length of Initial Relevant String of images(LIRS).