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

One of the most crucial aspects of image segmentation is multilevel thresholding. However,
multilevel thresholding becomes increasingly more computationally complex as the number …

Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Pixel rating is considered one of the commonly used critical factors in digital image
processing that depends on intensity. It is used to determine the optimal image …

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 …

Image segmentation is the process of separating pixels of an image into multiple classes,
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …

Image segmentation is a fundamental but essential step in image processing because it
dramatically influences posterior image analysis. Multilevel thresholding image …

The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape
energy is zero. Its exploration ability is limited. The random operator selected in HHO is a …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …