Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

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 …

Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …

The slime mould algorithm (SMA) is a recent physics-based optimization approach. The
main inspiration of the SMA is motivated by the natural oscillating state of the slime mould …

Gravitational search algorithm is a population-based optimization method. To address its
low search performance and premature convergence, a novel variant called adaptive …

Driving can understand the importance of tire tread depth and air pressure, but most people
are unaware of the safety risks of tire oxidation. Drivers must maintain vehicle tire quality to …

The segmentation of medical images is a crucial and demanding step in medical image
processing that offers a solid foundation for subsequent extraction and analysis of medical …

Fuzzy k-plane clustering (FkPC) is a soft plane-based clustering that efficiently clusters non-
spherically distributed data. However, the FkPC method is sensitive to noise and provides …

Nature-inspired optimization has gained immense popularity over the past six decades and
has been extensively used across various disciplines. This paper aims to statistically …

Multilevel thresholding image segmentation has attracted a lot of attention in the last several
years since it has plenty of applications. The traditional exhaustive search methods are …