One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been
verified that HS can find solutions to optimization problems due to its balanced exploratory …

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

One of the most crucial aspects of image segmentation is multilevel thresholding. However,
multilevel thresholding becomes increasingly more computationally complex as the number …

Today, image segmentation methods are widely used for various applications, including
object detection. Multilevel Thresholding Image Segmentation (MTIS) methods are among …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

A vision system comprises several steps, with each step exerting a significant impact on the
final outcome. One of these crucial steps is segmentation, which isolates the region of …

Multilevel image thresholding is a well-known technique for image segmentation. Recently,
various metaheuristic methods have been proposed for the determination of the thresholds …

This article mainly focuses on the utilization of shadowed type-2 fuzzy systems used to
achieve the goal of dynamically adapting the parameters of two already known algorithms in …

This study presents a method for enhancing the accuracy of object detection in industrial
automation applications using ResNet18-based image segmentation. The objective is to …

Forests play a vital role in increasing carbon sequestration in the biosphere. In recent years,
segmenting forest canopy images in order to obtain various plant population parameters has …