Multilevel thresholding (MLT) is one of the most widely used methods in image
segmentation. However, the exhaustive search method is computationally time consuming …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

Multi-level image segmentation is a critical task in image processing that involves multiple
threshold values. As the high computational cost of an exhaustive search is inefficient and …

Multilevel thresholding is an important approach for image segmentation which has drawn
much attention during the past few years. The Tsallis entropy method is implemented for its …

The multilevel threshold technique of image segmentation is a popular and intriguing
domain in the field of image vision and has received a lot of attention in several image …

We introduce an alternative hybrid swarm algorithm for image segmentation that employs
multilevel thresholding techniques. For the hybridization, we have combined the whale …

Image thresholding is one of most effective segmentation approaches, and multilevel
thresholding approach is widely applied for segmentation. Multilevel thresholding segments …

The Otsu's method has been proven as an efficient method in image segmentation for bi-
level thresholding. However, this method is computationally intensive when extended to …

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

Multilevel thresholding has got more attention in the field of image segmentation recently.
However, it is still challenging and complicated for color image segmentation in many …