Friday 29th of March 2024
 

Texture-based Image Retrieval Based on FABEMD



In this paper, we present a new method for content based images retrieval (CBIR). We propose characterizing images by using global information extracted from the Fast and Adaptive Bidimensional Empirical Mode Decomposition (FAEMD), which decomposes image into a set of functions named Bidimensional Intrinsic Mode Functions (BIMF) and a residue. On the first two BIMFs, which contains a high frequency part of the image, eventually curves and edges, Curvelet transform (CT) was applied; wheras on the remaining part of the image Gabor wavelets (GW) were applied. Image feature based on Curvelet transform and Gabor wavelet, are then calculated. Our approach was tested on Brodatz database. Experimental results show that the proposed system outperforms previous rotation-invariant systems significantly, and it is found to be superior to Curvelet Transform and Gabor wavelets.

Keywords: Content Based Image Retrieval, FABEMD, Curvelet Transform, Gabor Wavelets

Download Full-Text

IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »