Using Statistical Moment Invariants and Entropy in Image Retrieval
Multimedia
2010-02-11 v1 Information Retrieval
Abstract
Although content-based image retrieval (CBIR) is not a new subject, it keeps attracting more and more attention, as the amount of images grow tremendously due to internet, inexpensive hardware and automation of image acquisition. One of the applications of CBIR is fetching images from a database. This paper presents a new method for automatic image retrieval using moment invariants and image entropy, our technique could be used to find semi or perfect matches based on query by example manner, experimental results demonstrate that the purposed technique is scalable and efficient.
Cite
@article{arxiv.1002.2193,
title = {Using Statistical Moment Invariants and Entropy in Image Retrieval},
author = {Ismail I. Amr and Mohamed Amin and Passent El Kafrawy and Amr M. Sauber},
journal= {arXiv preprint arXiv:1002.2193},
year = {2010}
}
Comments
IEEE format, International Journal of Computer Science and Information Security, IJCSIS January 2010, ISSN 1947 5500, http://sites.google.com/site/ijcsis/