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Reseach Article

An Efficient Content based Image Retrieval System

by Avneet Kaur Chhabra, Vijay Birchha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 9
Year of Publication: 2014
Authors: Avneet Kaur Chhabra, Vijay Birchha
10.5120/18404-9673

Avneet Kaur Chhabra, Vijay Birchha . An Efficient Content based Image Retrieval System. International Journal of Computer Applications. 105, 9 ( November 2014), 14-16. DOI=10.5120/18404-9673

@article{ 10.5120/18404-9673,
author = { Avneet Kaur Chhabra, Vijay Birchha },
title = { An Efficient Content based Image Retrieval System },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 9 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number9/18404-9673/ },
doi = { 10.5120/18404-9673 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:15.541421+05:30
%A Avneet Kaur Chhabra
%A Vijay Birchha
%T An Efficient Content based Image Retrieval System
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 9
%P 14-16
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The basic objective of content based image retrieval is to extract visual content of an image automatically, similar to color, shape or texture. The CBIR technology can be used in several applications such as forensic laboratories, crime detection, and image searching sites. One most probable application is matching a forensic sketch to a set of previously available set of images. In this paper, we have proposed an efficient methodology for the content based image retrieval. The related work done by other authors is also discussed in brief. The experimental results have shown that the recall rate of the proposed methodology is better in comparison to the existing one.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Retrieval Clustering k Means wavelet transform feature extraction.