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

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 …

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 …

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 …

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 …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

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

In this paper, five successful nature inspired algorithms; the artificial tree algorithm (AT), the
particle swarm optimization (PSO), the genetic algorithm (GA), the cultural algorithm (CA) …

The drawback of the conventional multilevel thresholding methods is high computational
cost since they do exhaustive search among exponentialy growing number of possible …

There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …