Multilevel thresholding is one of the most popular approaches used for image segmentation.
Several methods have been used to find the threshold values; however, metaheuristic (MH) …

Multilevel thresholding is a very important image processing technique in the field of image
segmentation. However, the computational complexity of determining the optimal threshold …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Multilevel thresholding image segmentation is an important technique, which has attracted
much attention in recent years. The conventional exhaustive search method for image …

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

Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …

The multi-level thresholding is one of the most important issues in image segmentation. It is
a time consuming problem, ie finding appropriate threshold values could take exceptionally …

One of the critical tasks in image processing is image segmentation. Image thresholding is
the simplest technique of segmentation in two forms of bi‐level and multilevel. One …

One of the fundamental problems in image processing is image segmentation identifying the
objects and other structures in the image. Image thresholding is one of the widely used …