The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

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 …

Among various thresholding methods, minimum cross entropy is implemented for its
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …

This paper introduces the comparison of evolutionary and swarm-based optimization
algorithms for multilevel color image thresholding problem which is a process used for …

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 …

In this paper, a recently developed metaheuristic water cycle algorithm (WCA) is coupled
with Masi entropy (Masi-WCA) to perform color image segmentation over the optimal …

Image thresholding is a process for separating interesting objects within an image from their
background. An optimal threshold's selection can be regarded as a single objective …

Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …

Image thresholding is an important technique for image processing and pattern recognition.
Many thresholding techniques have been proposed in the literature. Among them, the …