International Journal of Computational Intelligence Systems

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Volume 9, Issue 5, September 2016, Pages 932 - 944

Gray image enhancement using harmony search

Authors
Mohammed Azmi Al-Betar1, Zaid Abdi Alkareem Alyasseri2, 3, Ahamad Tajudin Khader3, Asaju La’aro Bolaji4, Mohammed A. Awadallah5, ma.awadallah@alaqsa.edu.ps
1Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, P.O. Box 50,Al-Huson, Irbid, Jordan.
2ECE department, faculty of Engineering, University of Kufa, Najaf, Iraq
3School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
4Department of Computer Science, Faculty of Pure and Applied Sciences, Federal University Wukari, P. M. B., 1020, Wukari, Taraba State, Nigeria
5Department of Computer Science, Al-Aqsa University, P. O. Box 4051, Gaza,Palestine
Received 17 January 2015, Accepted 20 June 2016, Available Online 1 September 2016.
DOI
10.1080/18756891.2016.1237191How to use a DOI?
Keywords
Harmony Search; Image enhancement; Optimization; Intelligent Agent
Abstract

For decades, image enhancement has been considered one of the most important aspects in computer science because of its influence on a number of fields including but not limited to medical, security, banking and financial sectors. In this paper, a new gray level image (edge preserving) enhancement method called the harmony search algorithm (HSA) is proposed. HSA is a recently introduced population-based algorithm stemmed by the musical improvisation process when a group of musicians play the pitches of their instruments seeking for pleasing harmony. Tremendous successful stories of HSA application to a wide variety of optimization problems have been passed on at a large scale. In order to evaluate the proposed HSA-based image enhancement method, 14 standard images from the literature are used. For comparative evaluation, the results of the 14 enhanced image produced by HSA are compared with two classical image enhancement methods (i.e., Histogram Equalization algorithm and Image Adjacent algorithm) and two advanced methods (i.e., genetic algorithm and particle swarm optimization). It is note worthy that all these methods employed the same criteria (number of edges in an gray scaled images, summation intensity of edges detected using a Sobel filter and entropy measure) in order to evaluate their results. The HSA almost achieves the best results in comparison with the other classical and advanced image enhancement algorithms. Due to such achievements, we believe that the proposed method is very promising and has a potential to provide a substantial addition to the image enhancement domain.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 5
Pages
932 - 944
Publication Date
2016/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1237191How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Mohammed Azmi Al-Betar
AU  - Zaid Abdi Alkareem Alyasseri
AU  - Ahamad Tajudin Khader
AU  - Asaju La’aro Bolaji
AU  - Mohammed A. Awadallah
PY  - 2016
DA  - 2016/09/01
TI  - Gray image enhancement using harmony search
JO  - International Journal of Computational Intelligence Systems
SP  - 932
EP  - 944
VL  - 9
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1237191
DO  - 10.1080/18756891.2016.1237191
ID  - Al-Betar2016
ER  -