Nature Inspired Algorithms multi-objective histogram equalization for Grey image enhancement
DOI: 10.23977/acss.2020.040106 | Downloads: 10 | Views: 282
Ahmed Naser Ismael 1, Majida Ali Abd 1,2, Hamed Ali Abd 3
1 Department of Management Information Systems, University of Basrah, Iraq
2 Department of Computer Sciences, University of Tikrit, Iraq
3 Department of Communication, Iraq University Colloge,Iraq
Corresponding AuthorAhmed Naser Ismael
Nature is a very rich source of inspiration. Many algorithms have inspired from nature and source of algorithms inspiration development are diverse with different quality. Nature–inspired optimization techniques play an essential role in the field of image processing. It reduces the noise and blurring of images with improves the image enhancement, image segmentation, image pattern recognition. The Image enhancement is a process to make image ready for further uses in certain applications. The image quality is individually related with its contrast by rising the contrast, further disfigurements can be produced. In this paper covers current equalization enhancement technique some nature inspired algorithm for medical images. In addition, proposed an image enhancement method built by using two natures inspired algorithms Particle Swarm Optimization (PSO) and Bat Optimization Algorithms (BOA) combined to produce better enhancement. Here an objective criterion for measuring image enhancement is used which considers the Discrete Entropy (DE), the Structural Similarity Index Matrix (SSIM) and Executing Time (ET). The results showed the Bat Algorithm has produced a batter enhanced images when comparing with Particle Swarm Optimization images and the existing histogram-based equalization methods. The final results showed proposed image enhancement method can not only improve the contrast of the image, but also preserve the details of the image, which has a good visual effect.
KEYWORDSMedical Images, Histogram Equalization, Enhancement Techniques, Nature Inspired Algorithms
CITE THIS PAPER
Ahmed Naser Ismael, Majida Ali Abd and Hamed Ali Abd. Nature Inspired Algorithms multi-objective histogram equalization for Grey image enhancement. Advances in Computer, Signals and Systems (2020) 4: 36-46. DOI: http://dx.doi.org/10.23977/acss.2020.040106.
 A. Moraglio, C. Di Chio, J. Togelius, R. Poli, 2008, “Geometric particle swarm optimization”, Journal of Artificial Evolution and Applications.
 Pooja, Jyoti Rani ,2015,” Contrast Enhancement Based on BAT Algorithm “, International Journal of Engineering Research and General Science Volume 3, Issue 4, Part-2, ISSN 2091-2730.
 D. Nirmala,2015,” Medical image contrast enhancement techniques “Journal of Chemical and Pharmaceutical Research, 7(7):1-8, ISSN: 0975-7384.
 R. Seetha and S. Santhosh Baboo, ,” Analysis of Enhancement Techniques for Medical Images”, IJCTA, 9(40), pp. 141-147, 2016.
 Raihan Firoz, Md. Shahjahan Ali, M. Nasir Uddin Khan1, Md. Khalid Hossain, Md. Khairul Islam, Md. Shahinuzzaman1 ,” Medical Image Enhancement Using Morphological Transformation “Journal of Data Analysis and Information Processing, 4, 1-12, 2016.
 Shweta Dalwani, Anuradha Agarwal, “Review On Classification of Nature Inspired Approach”, International Journal of Computer & Mathematical Sciences, IJCMS, ISSN 2347 – 8527, Vol. 7, Issue 2, 2018.
 Yechuang Wang, Penghong Wang, Jiangjiang Zhang, Zhihua Cui, Xingjuan Cai, Wensheng Zhang and Jinjun Chen, "A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization", Mathematics, 7, 135, 2019.
 Sha-Sha Guo, Jie-Sheng Wang and Xiao-Xu Ma, "Improved Bat Algorithm Based on Multipopulation Strategy of Island Model for Solving Global Function Optimization Problem", Computational Intelligence and Neuroscience Vol. 2019, 6068743, 2019.
 Majida Ali Abed, Ahmed Naser Ismael, ” Comparison of Three Evolutionary Algorithms: PSOA, ACOA and BCOA on Recognition Arabic Characters Problem”, Journal of Artificial Intelligence Practice 2: 1-12 Clausius Scientific Press, Canada, 2016.
 Hamid Ali Abed Al-Asadi, Majida Ali Al-Asadi , Nada Ali Noori ,” Optimization noise figure of fiber Raman amplifier based on bat algorithm in optical communication network”, International Journal of Engineering & Technology, 7 (2), 874-879, 2018.
 Dhal, K.G., Ray, S., Das, A. et al. A Survey on Nature-Inspired Optimization Algorithms and Their Application in Image Enhancement Domain. Springer, 26, 1607–1638 ,2019. https://doi.org/10.1007/s11831-018-9289-9
 Alain Horé , Djemel Ziou “Image quality metrics: PSNR vs. SSIM,” International Conference on Pattern Recognition . August, 2010.
 Bejinariu, H. Costin, S. Member, F. Rotaru, and R. Luca, “Image Enhancement using Chaotic Maps and Bio-inspired Multi-objective Optimization,” International Symposium on Signals, Circuits and Systems (ISSCS), 2019,
 S. Bejinariu, H. Costin, S. Member, F. Rotaru, and R. Luca, “Nature Inspired Optimization Techniques for Image Processing— A Short Review,” in Intelligent Systems Reference Library ·, no. 1, Researchgate, pp. 1–33, 2019.
 S. Mirjalili, J. S. Dong, and A. L. Editors, Nature-inspired Optimizers. Brisbane Australia: Springer, 2018.
 A. L. B. Canlin Li 1, Jinhua Liu1, Anyi Liu 2, and Qinge Wu3, “Global and Adaptive Contrast Enhancement for Low Illumination Gray Images,” IEEE Access, vol. 11, pp. 1–17, 2019.
 A. B. K., P. S. and Subbian2, “Detection of Hard Exudates Using Evolutionary Feature Selection in Retinal Fundus Images,” Journal of Medical System., pp. 1–12, 2019.
 S. V. Leonardo Rundo1;2;3;4, Carmelo Militello4 and M. C. G. Giorgio Russo4, Evis Sala1;2, “A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration,” Fundam. Informaticae, vol. 1, no. 21, pp. 1–34, 2019.
 P. K. • A. K. Bhandari, “Spatial context-based optimal multilevel energy curve thresholding for image segmentation using soft computing techniques,” Neural Comput. Appl., vol. 7, no. 20, pp. 1–37, 2019.
 S.-I. Bejinariu, H. Costin, F. Rotaru, R. Luca, C,. Nita, „Automatic multithreshold image segmentation using metaheuristic algorithms”, Signals, Circuits and Systems (ISSCS), 2015 International Symposium on, Iasi,2015, pp. 1 – 4;
 S. Bejinariu, H. Costin, S. Member, F. Rotaru, and R. Luca, “Image Enhancement using Chaotic Maps and Bio-inspired Multi-objective Optimization,” 2019, December.
 S.-I. Bejinariu, H. Costin, F. Rotaru, R. Luca, C. Niţă, D. Costin, „Image enhancement by multiobjective optimization and bio-inspired heuristics”,Proc. of 2017 E-Health and Bioengineering Conference (EHB), Sinaia,România, 22-24 June, 2017, pp. 442-445.
 X. Xu, H. Rong, M. Trovati, M. Liptrott, N. Bessis, “CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems”, Soft Computing, 22, 2018, pp. 783–795.