Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. Traditional methods for multilevel thresholding are …

Multilevel thresholding image segmentation has always been a popular issue and attracted
the attention of many researchers in recent years since it has many applications. However …

Colored satellite images are difficult to segment due to their low illumination, dense features,
uncertainties, etc. Rényi's entropy is a famous entropy criterion that provides excellent …

Particle Swarm Optimization (PSO) is a well-known meta-heuristic. It has been widely used
in both research and engineering fields. However, the original PSO generally suffers from …

The computation of image segmentation has become more complicated with the increasing
number of thresholds, and the option and application of the thresholds in image thresholding …

Multilevel thresholding amounts to segmenting a gray-level image into several distinct
regions. This paper presents a 2D histogram based multilevel thresholding approach to …

Digital images are widely used and numerous application in different scientific fields use
digital image processing algorithms where image segmentation is a common task …

Image thresholding is well accepted and one of the most imperative practices to accomplish
image segmentation. This has been widely studied over the past few decades. However, as …

Segmentation is a critical task in image processing. Bi-level segmentation involves dividing
the whole image into partitions based on a threshold value, whereas multilevel …

Image segmentation is a significant technology for image process. Many segmentation
methods have been brought forward to deal with image segmentation, among these …