International Journal of Advanced Computing and Communication Systems

Content Based Image Retrieval Based on Global and Region Content of an Image

Kavitha H, Department of EEE, K.S.Rangasamy College of Technology, Namakkal, Tamil Nadu, India.

Sudhamani M V, Dept. of ISE, RNS Institute of Technology, Benguluru, Karnataka, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 01, Issue 02

Page No : 022-026

Abstract

In this paper we present efficient content based image retrieval system based on the visual features like texture and color. In our work the first step is the extraction of the texture features by using the Gabor filters form the whole image or for region formed after segmentation. Gabor filter (or Gabor wavelet) is widely adopted in image retrieval systems to extract texture features from images and has been shown to be very efficient. Therefore, we use the Gabor filter to extract global texture features from the image. In order to speed up retrieval the HSV color features are retrieved for both the entire image and the segmented regions. The experiments were carried out with COIL-100 and Wang’s image dataset. The experimental results show that the current work is significantly better than the existing systems.

Keywords

Content based image retrieval, Region based features, Global based features, Texture, Color, Gabor filter.

Cite this Article

Kavitha H and Sudhamani M V, “Content Based Image Retrieval Based on Global and Region Content of an Image,” International Journal of Advanced Computing and Communication Systems, pp. 022-026, July, 2014.

Copyright

© 2014 Kavitha H and Sudhamani M V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.