Next Article in Journal
Brownian Motion in Minkowski Space
Previous Article in Journal
Entropy vs. Energy Waveform Processing: A Comparison Based on the Heat Equation
Article Menu

Export Article

Open AccessArticle
Entropy 2015, 17(6), 3552-3580; doi:10.3390/e17063552

Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions

1
Department of Computer Engineering, University of Engineering and Technology , Taxila 47050, Pakistan
2
Department of Computer Science, University of Engineering and Technology , Taxila 47050, Pakistan
3
School of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 330-708, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Kevin H. Knuth
Received: 9 March 2015 / Revised: 7 May 2015 / Accepted: 18 May 2015 / Published: 29 May 2015
View Full-Text   |   Download PDF [9218 KB, uploaded 29 May 2015]   |  

Abstract

One of the major requirements of content based image retrieval (CBIR) systems is to ensure meaningful image retrieval against query images. The performance of these systems is severely degraded by the inclusion of image content which does not contain the objects of interest in an image during the image representation phase. Segmentation of the images is considered as a solution but there is no technique that can guarantee the object extraction in a robust way. Another limitation of the segmentation is that most of the image segmentation techniques are slow and their results are not reliable. To overcome these problems, a bandelet transform based image representation technique is presented in this paper, which reliably returns the information about the major objects found in an image. For image retrieval purposes, artificial neural networks (ANN) are applied and the performance of the system and achievement is evaluated on three standard data sets used in the domain of CBIR. View Full-Text
Keywords: bandelet transform; Gabor filter; content based image retrieval; artificial neural network; geometric extraction bandelet transform; Gabor filter; content based image retrieval; artificial neural network; geometric extraction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ashraf, R.; Bashir, K.; Irtaza, A.; Mahmood, M.T. Content Based Image Retrieval Using Embedded Neural Networks with Bandletized Regions. Entropy 2015, 17, 3552-3580.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top