Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

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

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

Due to the computational complexity of multilevel image thresholding, Swarm Intelligence
Optimization Algorithm (SIOA) has been widely applied to improve the calculation efficiency …

Image segmentation is the process of separating pixels of an image into multiple classes,
enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method …

Color image segmentation is the primary step to elicit detailed information of the image with
RGB color space. The key to acquire the region of interest is the straightforward, instinctual …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search method is computationally expensive for selecting the …

Recently, more and more real life problems are solved using artificial intelligence (AI)
algorithms. One of the biggest challenges when working with AI is the selection and tuning …

Multi-level thresholding is one of the effective segmentation methods that have been applied
in many applications. Traditional methods face challenges in determining the suitable …