Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …

Abstract Grey Wolf Optimizer (GWO) is a new nature-inspired metaheuristic algorithm based
on the leadership and social behaviour of grey wolves in nature. It has shown potential to …

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 …

Thresholding technique is one of the most imperative practices to accomplish image
segmentation. In this paper, a novel thresholding algorithm based on 3D Otsu and multi …

Image processing is an evolving field that calls for more powerful techniques to extract
useful information from images. In particular, image segmentation is a preprocessing step …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Abstract Design and development of new drug molecules are essential for the survival of
human society. New drugs are designed for therapeutic purposes to combat new diseases …

Image thresholding is a process for separating interesting objects within an image from their
background. An optimal threshold's selection can be regarded as a single objective …

Among various thresholding methods, minimum cross entropy is implemented for its
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …

In the current world pandemic situation, the contagious Novel Coronavirus Disease 2019
(COVID-19) has raised a real threat to human lives owing to infection on lung cells and …