Recent advancements in computer vision have enabled wide-ranging applications in every
field of life. One such application area is fresh produce classification, but the classification of …

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

Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …

Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …

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

Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …

This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …

Medical imaging systems often require the application of image enhancement techniques to
help physicians in anomaly/abnormality detection and diagnosis, as well as to improve the …

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 …

This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …