This review paper presents a comprehensive and full review of the so-called optimization
algorithm, multi-verse optimizer algorithm (MOA), and reviews its main characteristics and …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

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 …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

The identification of plant disease is the premise of the prevention of plant disease efficiently
and precisely in the complex environment. With the rapid development of the smart farming …

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 …

In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …

The artificial bee colony algorithm (ABC) has been successfully applied to various
optimization problems, but the algorithm still suffers from slow convergence and poor quality …

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