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

Thresholding is a frequently used method in image processing because of its consistency
and low computational cost. Otsu's and Kapur's methods are two important techniques that …

Segmentation is a critical task in image processing. Bi-level segmentation involves dividing
the whole image into partitions based on a threshold value, whereas multilevel …

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

Multilevel thresholding of images helps in separating the interesting objects from their
background. The quality of separation depends much on the selected threshold values. This …

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 …

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 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 …