This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …

Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …

Dipper throated optimization (DTO) algorithm is a novel with a very efficient metaheuristic
inspired by the dipper throated bird. DTO has its unique hunting technique by performing …

Segmentation is a crucial phase in image processing because it simplifies the
representation of an image and facilitates its analysis. The multilevel thresholding method is …

Image segmentation is a key stage in image processing because it simplifies the
representation of the image and facilitates subsequent analysis. The multi-level thresholding …

The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …

Abstract The conventional Butterfly Optimization Algorithm (BOA) does not appropriately
balance the exploration and exploitation characteristics of an algorithm to solve present-day …

This paper presents a novel methodology for skin cancer diagnosis based on deep learning
and metaheuristics. The method combines a multi-level optimal thresholding segmentation …