Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …

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 …

Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to
serious threats for all age groups. The proposed work aims to extract and evaluate the …

Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …

Segmentation is considered the central part of an image processing system due to its high
influence on the posterior image analysis. In recent years, the segmentation of magnetic …

In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …

This paper proposes a modified version of freshly developed Equilibrium Optimizer (EO) for
segmentation of gray-scale images using multi-level thresholding. Laplace distribution …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Artificial intelligence (AI) is one of the most promising approaches to health innovation. The
use of AI in image recognition considerably extends findings beyond the constraints of …