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

The development of Computational Intelligence (CI) systems was inspired by observable
and imitable aspects of intelligent activity of human beings and nature. The essence of the …

From a microscopic perspective, the mechanical behavior of rocks can be well simulated by
particle discrete element method. However, the ideal mechanical properties under …

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 the method applied to segment the given image into unique sub-
regions when the gray value distribution of the pixels is not distinct. The segmentation …

In the area of image processing, segmentation of an image into multiple regions is very
important for classification and recognition steps. It has been widely used in many …

Following the “on condition maintenance” approach used for extending service life of an
aircraft one of the major tasks is a nondestructive testing of its critical elements. Considering …

Image segmentation involves identifying the distinct objects present in an image based on
the properties such as intensity, color, texture etc. There are many image segmentation …

This paper addresses the problem of detecting the partially-correlated χ2 fluctuating targets
with two and four degrees of freedom. It presents the performance analysis, in its exact form …

The article presents a method of reconstruction of planar ultrasonic maps into a three-
dimensional form based on levels of attenuation of ultrasonic waves through a tested …