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 …

The multi-level image thresholding is often treated as a problem of optimization. Typically,
finding the parameters of these problems leads to a nonlinear optimization problem, for …

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 …

Multilevel thresholding for image segmentation is a crucial process in several applications
such as feature extraction and pattern recognition. The meticulous search for the best values …

Multilevel image thresholding is a technique widely used in image processing, most often for
segmentation. Exhaustive search is computationally prohibitively expensive since the …

Image segmentation is one of the fundamental problems in the image processing, which
identifies the objects and other structures in the image. One of the widely used methods for …

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

Multilevel image thresholding is a very important image processing technique that is used as
a basis for image segmentation and further higher level processing. However, the required …

Multilevel thresholding is one of the most effective image segmentation methods, due to its
efficiency and easy implementation. This study presents a new multilevel thresholding …