One of the goals for the multi-level image thresholding segmentation is to divide the image
into several homogeneous regions without overlapping. The performance of segmentation …

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 technique is popular and extensively used in the field of image
processing. In this paper, a multilevel threshold selection is proposed based on edge …

We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …

An efficient hierarchical approach for image multi-level thresholding is proposed based on
the maximum entropy principle and Bayes' formula, in which no assumptions of the image …

Image thresholding is a process that separates particular object within an image from their
background. An optimal thresholding technique can be taken as a single objective …

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) …

This paper presented a hybrid optimal estimation algorithm for solving multi-level
thresholding problems in image segmentation. The distribution of image intensity is modeled …

Multilevel thresholding is to find the thresholds to segment the image with grey levels.
Usually, the thresholds are so determined that some indicator functions of the segmented …

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …