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IJEETC 2023 Vol.12(6): 411-423
doi: 10.18178/ijeetc.12.6.411-423

Hybrid Optimization Algorithm for Multi-level Image Thresholding Using Salp Swarm Optimization Algorithm and Ant Colony Optimization

K. Manikandan1,* and B. Sudhakar2
1. Department of Electronics and Communication Engineering, Government College of Engineering, Thanjavur, India
2. Department of Electronics and Communication Engineering, Annamalai University, Chidambaram, India

Manuscript received May 23, 2023; revised July 21, 2023; accepted August 18, 2023.

Abstract—The process of identifying optimal threshold for multi-level thresholding in image segmentation is a challenging process. An efficient optimization algorithm is required to find the optimal threshold and various nature inspired; evolutionary optimization algorithms are presented by the research community. However, to improve the performance in finding optimal threshold value and minimize the error, reduces the searching time a hybrid optimization algorithm is presented in this research work using salp swarm optimization and ant colony optimization algorithm. The ant colony optimization algorithm is used to enhance the exploration and exploitation characteristics of salp swarm optimization in finding optimal threshold for the given image. Experimentation using standard images validates the proposed model performance in comparison with traditional optimization algorithms like moth flame optimization, whale optimization algorithm, grey wolf optimization, artificial bee colony and bee foraging optimization algorithms. Proposed hybrid optimization outperformed in all parameters compared to traditional optimization algorithms and provides better optimal thresholds for the given input image.

Index Terms—Multi-level thresholding, image segmentation, nature inspired optimization, ant colony optimization, salp swarm optimization algorithm, peak signal to noise ratio, structural similarity index, threshold

Cite: K. Manikandan and B. Sudhakar, "Hybrid Optimization Algorithm for Multi-level Image Thresholding Using Salp Swarm Optimization Algorithm and Ant Colony Optimization," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 12, No. 6, pp. 411-423, November 2023. doi: 10.18178/ijeetc.12.6.411-423

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.