Image Retrieval Techniques based on Image Features, A State of Art approach for CBIR
Abstract
The purpose of this Paper is to describe our research on different feature extraction and matching techniques in designing a Content Based Image Retrieval (CBIR) system. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Firstly, this paper outlines a description of the primitive feature extraction techniques like, texture, colour, and shape. Once these features are extracted and used as the basis for a similarity check between images, the various matching techniques are discussed. Furthermore, the results of its performance are illustrated by a detailed example.
Keywords
Cite
@article{arxiv.1002.1951,
title = {Image Retrieval Techniques based on Image Features, A State of Art approach for CBIR},
author = {Mr. Kondekar V. H. and Mr. Kolkure V. S. and Prof. Kore S. N},
journal= {arXiv preprint arXiv:1002.1951},
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/