Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm

In this paper a novel multilevel thresholding algorithm using a meta-heuristic Krill Herd Optimization (KHO) algorithm has been proposed for solving the image segmentation problem. The optimum threshold values are determined by the maximization of Kapur’s or Otsu’s objective function using Krill Her...

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Autors principals:	K.P. Baby Resma, Madhu S. Nair
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2021-06-01
Col·lecció:	Journal of King Saud University: Computer and Information Sciences
Matèries:	Krill Herd Optimization Bio-inspired computing Image segmentation Multilevel thresholding Otsu’s method Kapur’s method
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1319157818300739
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