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

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 …

Melanoma is a malignant and aggressive type of skin cancer. This paper describes an
effective method for detection of melanoma. A hybrid classification algorithm was developed …

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 …

Image segmentation is one of the pivotal steps in image processing due to its enormous
application potential in medical image analysis, data mining, and pattern recognition. In fact …

With an advancement in artificial intelligence (AI) applications, the use of smart imaging
devices has been increased at a rapid rate. Recently, many researchers have utilized deep …

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 …

Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

The novel coronavirus pneumonia (COVID-19) is a respiratory disease of great concern in
terms of its dissemination and severity, for which X-ray imaging-based diagnosis is one of …

Over the last few years, the study of characteristics of particles present in the environment
becomes an interesting research area for scientists. Simulation of physical and dynamic …