Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

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 …

Multilevel image thresholding is effectually technique used to segment many types of
images. It usually applied in image preprocessing phase. In this chapter, a review of gray …

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

Multi-level image thresholding segmentation divides an image into multiple non-overlapping
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

Image segmentation is an essential part of image analysis, which has a direct impact on the
quality of image analysis results. Thresholding is one of the simplest and widely used …

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 …

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

Multilevel thresholding is one of the most broadly used approaches to image segmentation.
However, the traditional techniques of multilevel thresholding are time-consuming …