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Mathematical Problems in Engineering
Volume 2018, Article ID 2134395, 13 pages
https://doi.org/10.1155/2018/2134395
Research Article

A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval

1Department of Software Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
2Department of Computer Science, University of Engineering and Technology, Taxila 47050, Pakistan
3College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
4College of Computer and Information Systems, Al-Yamamah University, Riyadh 11512, Saudi Arabia
5Department of Computer Engineering, Umm Al-Qura University, Makkah 21421, Saudi Arabia

Correspondence should be addressed to Zahid Mehmood; kp.ude.alixatteu@doomhem.dihaz

Received 16 July 2017; Accepted 4 February 2018; Published 6 March 2018

Academic Editor: Marco Perez-Cisneros

Copyright © 2018 Muhammad Yousuf et al. 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.

How to Cite this Article

Muhammad Yousuf, Zahid Mehmood, Hafiz Adnan Habib, et al., “A Novel Technique Based on Visual Words Fusion Analysis of Sparse Features for Effective Content-Based Image Retrieval,” Mathematical Problems in Engineering, vol. 2018, Article ID 2134395, 13 pages, 2018. https://doi.org/10.1155/2018/2134395.