A Study and Analysis on Feature Extraction in Content-Based Image Retrieval

Authors

  • Nadira T Royal College of Engineering and Technology, Thrissur, Kerala, India
  • Rehna K Royal College of Engineering and Technology, Thrissur, Kerala, India
  • Mon FA Royal College of Engineering and Technology, Thrissur, Kerala, India

Keywords:

CBIR, visual database, texture, feature extraction, color correlogram

Abstract

The digital image data is rapidly growing in quantity and heterogeneity. The existing information retrieval techniques does not meet the user’s demand, so there is need to develop an efficient system for content based image retrieval. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large annotated image database according to user's requests, in the form of a query image. In this paper we present a study on some technical aspects of current content-based image retrieval systems and feature extraction. Features such as color, shape and texture are analysed to develop a high retrieval accurate cbir system.

References

D. A. Kumar and J. Esther, “Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform”, Int’l Journal of Computer Applications (0975 – 8887), vol. 17, no. 3, (2011) March, pp. 37.

Khan,W., Kumar,S., Gupta,N., Khan,N., A Proposed Method for Image Retrieval using Histogram values and Texture Descriptor Analysis, IJSCE, ISSN: 231-2307, Volume-I Issue-II,( May 2011).

F. Long, H. J. Zhang and D. D. Feng, “Fundamentals of Content-based Image Retrieval, Multimedia Information Retrieval and Management”, D. Feng Eds, Springer, (2003).

L. Haldurai and V. Vinodhini, "Parallel Indexing on Color and Texture Feature Extraction using R-Tree for Content Based Image Retrieval", International Journal of Computer Sciences and Engineering, Vol.3, Issue.11, pp.11-15, 2015.

L. Zheng, S. Wang, and Q. Tian, “Lp-norm IDF for scalable image ns. Image Process., vol. 23, no. 8, pp. 3604–3617, Aug. 2014

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Published

2025-11-11

How to Cite

[1]
T. Nadira, K. Rehna, and F. A. Mon, “A Study and Analysis on Feature Extraction in Content-Based Image Retrieval”, Int. J. Comp. Sci. Eng., vol. 5, no. 6, pp. 305–307, Nov. 2025.

Issue

Vol. 5 No. 6 (2017): IJCSE June Edition

Section

Survey Article

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