Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …

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 …

To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation
method is developed in this paper based on an improved slime mould algorithm. The search …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

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 …

Abstract The Bees Algorithm (BA) is a bee swarm intelligence-based metaheuristic algorithm
that is inspired by the natural behavior of honeybees when foraging for food. BA can be …

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 …

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 …

Multilevel thresholding for segmentation is an essential task and indispensable process in
various applications. Conventional color multilevel thresholding based image …

Multilevel thresholding for image segmentation is a crucial process in several applications
such as feature extraction and pattern recognition. The meticulous search for the best values …