Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

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

The multilevel thresholding is one important operation in computer vision, which is a subfield
of artificial intelligence (AI), used to understand and interpret the data in the real world. The …

The multilevel image thresholding is one of the important steps in multimedia tools to
understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite …

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 …

Lung cancer is a leading cause of cancer related deaths in all around the world. The
identification of lung nodules is the significant step in the diagnosis of earlier lung cancer …

Background One of the challenging and the primary stages of medical image examination is
the identification of the source of any disease, which may be the aberrant damage or change …

In this paper, we propose a multilevel segmentation methods of medical images based on
the classical and quantum genetic algorithms. The Genetic Algorithm (GA) uses a binary …

Image segmentation is an indispensable part of computer vision applications, and image
thresholding is a popular one due to its simplicity and robustness. Generalised Masi entropy …