An Integration of Genetic Algorithm and Projected Clustering for Optimization of Content Based Image Retrieval System

Authors

  • S. Selvam Bharathiar University, Coimbatore, Tamilnadu - INDIA
  • S. Thabasu Kannan Pannai College of Engg& Tech, Sivagangai, Tamilnadu - INDIA

DOI:

https://doi.org/10.51611/iars.irj.v4i2.2014.39

Keywords:

CBIR, GENETIC ALGORITHM, HARP ALGORITHM, PRECISION, RECALL

Abstract

In recent years especially in the last decade, the rapid development in computers, storage media and digital image capturing devices enable to collect a large number of digital information and store the minicomputer readable formats. The main objective of this paper is to build more generalized CBIR system which increase the searching ability and provide more accurate results. To improve the retrieval accuracy the system has taken the feedback from the user automatically. To evaluate the performance of new system, we use WANG database. The metrics used for evaluation are precision, recall and retrieval time. The performance can be evaluated by comparing some existing systems in CBIR. The performance of new system in terms of the metrics proves to good.

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References

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Published

2014-08-29

Issue

Vol. 4 No. 2 (2014): IARS' International Research Journal

Section

Peer Reviewed Research Manuscript

License

Copyright (c) 2014 S. Selvam, S. Thabasu Kannan

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author(s) hold complete right on the content of this article. Copyright to the content are governed as per Copyright Policy of the Journal.

How to Cite

Selvam, S. and Kannan, S.T. (2014) “An Integration of Genetic Algorithm and Projected Clustering for Optimization of Content Based Image Retrieval System”, IARS’ International Research Journal, 4(2). doi:10.51611/iars.irj.v4i2.2014.39.
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