Threshold segmentation based on swarm intelligence optimization algorithm is a research
hotspot in image processing, because of its good segmentation effect and easy …

COVID-19 is pervasive and threatens the safety of people around the world. Therefore, now,
a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X …

The multi-verse optimizer (MVO) algorithm has been applied to image segmentation, feature
selection, engineering problems, and many other fields. MVO, like other metaheuristic …

Image segmentation is an important step in obtaining image information, and it has always
been an extremely critical link in the fields of computer vision and pattern recognition …

In this article is introduced an innovative segmentation methodology that is based on a two-
dimensional (2D) histogram that permits to increase the quality of the segmented images …

Multilevel thresholding is a reliable and efficacious method for image segmentation that has
recently received widespread recognition. However, the computational complexity of the …

In remote sensing imagery, segmentation techniques fail to encounter multiple regions of
interest due to challenges such as dense features, low illumination, uncertainties, and noise …

Image segmentation is an initial task in many vision-based systems and plays an important
role in the processes of image analysis, target recognition and tracking, and image …

This paper illustrates a comparative analysis of thresholding based novel technique for
satellite image segmentation. Differential evolution algorithm is implemented for multilevel …

This study focuses on the utilization of statistical features and multilevel thresholding
techniques for enhancing the analysis of remotely sensed images. The objective is to extract …