Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …

Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

Segmentation is a crucial phase in image processing because it simplifies the
representation of an image and facilitates its analysis. The multilevel thresholding method is …

This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile
Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray …

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence
Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …

COVID-19 X-ray images are a vital approach for diagnosing whether a patient has an
infection. By using multi-threshold image segmentation (MIS) technology to segment the …

Digital image processing techniques and algorithms have become a great tool to support
medical experts in identifying, studying, diagnosing certain diseases. Image segmentation …

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 …