A new fusion of whale optimizer algorithm with Kapur’s entropy for multi-threshold image segmentation: analysis and validations

The separation of an object from other objects or the background by selecting the optimal threshold values remains a challenge in the field of image segmentation. Threshold segmentation is one of the most popular image segmentation techniques. The traditional methods for finding the optimum threshol...

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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 55; no. 8; pp. 6389 - 6459
Main Authors:	Abdel-Basset, Mohamed, Mohamed, Reda, Abouhawwash, Mohamed
Format:	Journal Article
Language:	English
Published:	England Springer 01.12.2022 Springer Nature B.V Springer Netherlands
Subjects:	Algorithms Cetacea Convergence Entropy Image processing Image segmentation Mathematical optimization Medical imaging equipment Minima NMR Nuclear magnetic resonance Optimization Optimization algorithms Rankings Segmentation Signal to noise ratio Thresholds Whales & whaling Kapur’s entropy Image segmentation Local Minima Whale optimization algorithm Linearly convergence
ISSN:	0269-2821, 1573-7462
Online Access:	Get full text
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