Multilevel thresholding for segmentation is an essential task and indispensable process in
various applications. Conventional color multilevel thresholding based image …

In this paper, a modified firefly algorithm (MFA) is proposed to find the optimal multilevel
threshold values for color image. Kapur's entropy, minimum cross entropy and between …

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 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 highly accepted methods for image segmentation because of its
simplicity in nature. The selection of optimal threshold values in threshold-based image …

Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …

Amongst all the multilevel thresholding techniques, standard histogram based thresholding
approaches are very impressive for bi-level thresholding. But, it is not effective to select …

Image segmentation is among the most important techniques in image processing, and
many methods have been developed to perform this task. This paper presents a new multi …

The multi-level thresholding is a popular method for image segmentation. However, the
method is computationally expensive and suffers from premature convergence when level …