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Tabu-Adaptive Artificial Bee Colony Metaheuristic for Image Segmentation: Enhancing ABC Metaheuristic for Image Segmentation

Tabu-Adaptive Artificial Bee Colony Metaheuristic for Image Segmentation: Enhancing ABC Metaheuristic for Image Segmentation

Souhail Dhouib, Mariem Miledi
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 18
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781683181132|DOI: 10.4018/IJAEC.302015
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MLA

Dhouib, Souhail, and Mariem Miledi. "Tabu-Adaptive Artificial Bee Colony Metaheuristic for Image Segmentation: Enhancing ABC Metaheuristic for Image Segmentation." IJAEC vol.13, no.1 2022: pp.1-18. http://doi.org/10.4018/IJAEC.302015

APA

Dhouib, S. & Miledi, M. (2022). Tabu-Adaptive Artificial Bee Colony Metaheuristic for Image Segmentation: Enhancing ABC Metaheuristic for Image Segmentation. International Journal of Applied Evolutionary Computation (IJAEC), 13(1), 1-18. http://doi.org/10.4018/IJAEC.302015

Chicago

Dhouib, Souhail, and Mariem Miledi. "Tabu-Adaptive Artificial Bee Colony Metaheuristic for Image Segmentation: Enhancing ABC Metaheuristic for Image Segmentation," International Journal of Applied Evolutionary Computation (IJAEC) 13, no.1: 1-18. http://doi.org/10.4018/IJAEC.302015

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Abstract

This paper proposes to enhance the Artificial Bee Colony (ABC) metaheuristic with a Tabu adaptive memory to optimize the multilevel thresholding for Image Segmentation. This novel method is named Tabu-Adaptive Artificial Bee Colony (TA-ABC). To find the optimal thresholds, two novel versions of the proposed technique named TA-ABC-BCV and TA-ABC-ET are developed using respectively the thresholding functions namely the Between-Class Variance (BCV) and the Entropy Thresholding (ET). To prove the robustness and performance of the proposed methods TA-ABC-BCV and TA-ABC-ET, several benchmark images taken from the USC-SIPI Image Database are used. The experimental results show that TA-ABC-BCV and TA-ABC-ET outperform other existing optimization algorithms in the literature. Besides, compared to TA-ABC-ET and other methods from the literature all experimental results prove the superiority of TA-ABC-BCV.

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