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 …

Published: January 31, 2022 Segmentation aims to distinguish many essential parts that
define objects. Segmentation, a challenging step in image processing, plays a key role in …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Color image segmentation is a fundamental challenge in the field of image analysis and
pattern recognition. In this paper, a novel automated pixel clustering and color image …

Multilevel thresholding image segmentation has received considerable attention in several
image processing applications. However, the process of determining the optimal threshold …

There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …

Salp swarm algorithm (SSA) is a simple and effective bio-inspired algorithm that is gaining
popularity in global optimization problems. In this paper, first, based on the pinhole imaging …

Image segmentation is an indispensable part of computer vision applications, and image
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …

Salp swarm algorithm (SSA) is an innovative contribution to smart swarm algorithms and has
shown its utility in a wide range of research domains. While it is an efficient algorithm, it is …

The most important and demanding part of the artificial neural network is the training
process which involves finding the most suitable values for the weights in the network …