Otsu Image Segmentation Based on a Fractional Order Moth–Flame Optimization Algorithm

Otsu Image Segmentation Based on a Fractional Order Moth–Flame Optimization Algorithm

To solve the shortcomings of the Otsu image segmentation algorithm based on traditional Moth–Flame Optimization (MFO), such as its poor segmentation accuracy, slow convergence, and tendency to fall into local optimum, this paper proposes fractional order moth–flame optimization with the Otsu image s...

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Bibliographic Details
Main Authors: Qi Fan, Yu Ma, Pengzhi Wang, Fenghua Bai
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Fractal and Fractional
Subjects:
image segmentation
fractional order differentiation
moth–flame optimization algorithm
Otsu
Online Access:https://www.mdpi.com/2504-3110/8/2/87

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