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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Vydané v:	The Artificial intelligence review Ročník 55; číslo 8; s. 6389 - 6459
Hlavní autori:	Abdel-Basset, Mohamed, Mohamed, Reda, Abouhawwash, Mohamed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Springer 01.12.2022 Springer Nature B.V Springer Netherlands
Predmet:	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
On-line prístup:	Získať plný text
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