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A Efficient Content based Image Retrieval System using GMM and Relevance Feedback

by Ramadass Sudhir, S. Santhosh Baboo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 22
Year of Publication: 2013
Authors: Ramadass Sudhir, S. Santhosh Baboo
10.5120/12678-9425

Ramadass Sudhir, S. Santhosh Baboo . A Efficient Content based Image Retrieval System using GMM and Relevance Feedback. International Journal of Computer Applications. 72, 22 ( June 2013), 50-61. DOI=10.5120/12678-9425

@article{ 10.5120/12678-9425,
author = { Ramadass Sudhir, S. Santhosh Baboo },
title = { A Efficient Content based Image Retrieval System using GMM and Relevance Feedback },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 22 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 50-61 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number22/12678-9425/ },
doi = { 10.5120/12678-9425 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:39.941616+05:30
%A Ramadass Sudhir
%A S. Santhosh Baboo
%T A Efficient Content based Image Retrieval System using GMM and Relevance Feedback
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 22
%P 50-61
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content-Based Image Retrieval (CBIR) systems are required to effectively extract information from ubiquitous image collections. Retrieving images from a large and highly varied image data set based on their visual contents is extremely challenging. CBIR has been studied for decades and many good approaches have been proposed. But they do have some drawbacks. Texture and color are the significant features of CBIR systems. This paper gives a novel method of CBIR, in which images can be retrieved using color-based, texture-based and color and texture-based. Auto color correlogram and correlation for extracting color based images, Gaussian mixture models for extracting texture based images are the algorithms used here. For Relevance Feedback, Query Point Movement technique is used. Thus the proposed method achieves better performance and accuracy in retrieved images along with iteration reduction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image retrieval Texture Auto Color Correlogram (ACC) Gaussian Mixture Models (GMM) Query Point Movement Content-Based Image Retrieval (CBIR)

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