An enhanced exponential distribution optimizer and its application for multi-level medical image thresholding problems

An enhanced exponential distribution optimizer and its application for multi-level medical image thresholding problems

In this paper, an enhanced version of the Exponential Distribution Optimizer (EDO) called mEDO is introduced to tackle global optimization and multi-level image segmentation problems. EDO is a math-inspired optimizer that has many limitations in handling complex multi-modal problems. mEDO tries to s...

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Bibliographic Details
Main Authors: Fatma A. Hashim, Abdelazim G. Hussien, Anas Bouaouda, Nagwan Abdel Samee, Ruba Abu Khurma, Hayam Alamro, Mohammed Azmi Al-Betar
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Alexandria Engineering Journal
Subjects:
Exponential distribution optimizer
Multi-level thresholding
Meta-heuristic algorithms
Image segmentation
Otsu's method
Global optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682400142X

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http://www.sciencedirect.com/science/article/pii/S111001682400142X

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