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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Fractal and Fractional |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3110/8/2/87 |