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Content based Image Retrieval Review on its Methods and Transforms

by Avanish Tiwari, Anurag Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 14
Year of Publication: 2014
Authors: Avanish Tiwari, Anurag Jain
10.5120/17885-8852

Avanish Tiwari, Anurag Jain . Content based Image Retrieval Review on its Methods and Transforms. International Journal of Computer Applications. 102, 14 ( September 2014), 33-40. DOI=10.5120/17885-8852

@article{ 10.5120/17885-8852,
author = { Avanish Tiwari, Anurag Jain },
title = { Content based Image Retrieval Review on its Methods and Transforms },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 14 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number14/17885-8852/ },
doi = { 10.5120/17885-8852 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:22.897882+05:30
%A Avanish Tiwari
%A Anurag Jain
%T Content based Image Retrieval Review on its Methods and Transforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 14
%P 33-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

CBIR (content based image retrieval) is the process which mainly focuses to provide efficient retrieval of digital image from the huge collection/database of the images. As many researchers and PhD scholars are working on this topic. So in this paper many algorithms have been studied and discussed such as sectorization of DCT-DST Plane of Row wise transform, discrete sine transform sectorization for feature vector generation, FFT sectorization for feature vector generation, histogram matching, histogram bins. This paper also includes the different filtering techniques like median filter, point operator and histogram normalization techniques. It includes comparison of all the algorithms based on their performance by comparing different performance parameters such as LIRS (Length of initial string of relevant images retrieved), LSRR (Length of string to recover all relevant images) and LSRI (Longest string of relevant images retrieved), precision and recall to determine which algorithm is providing best result. Based on all comparison this paper concludes that Column wise walsh wavelet transform gives best result. It gives 40% precision values but LSRR result is more than 60%. So as per the results it is stated that hybrid approach will give better result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Feature Vector Transform Sectorization Spatial Domain Frequency Domain Similarity Measures