Multilevel thresholding is one of the most widely used techniques for image segmentation. A
thresholding technique for image segmentation is mainly categorized into two types such as …

Multi-level thresholding (MLT) is a threshold-based image segmentation method. MLT is
perhaps one of the most mainstream method of image segmentation because of its effective …

Image segmentation, the process of partitioning an image into meaningful regions, is a
fundamental step in image processing, crucial for applications like computer vision, medical …

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

Image segmentation has an important role in image processing and computer vision and it is
widely used in numerous applications, including feature extraction, pattern recognition …

Image segmentation is an essential step involved in most computer vision systems used in
several areas such as engineering, communications, transportation, business, and social …

Aerial photography is a long-range, non-contact method of target detection technology that
enables qualitative or quantitative analysis of the target. However, aerial photography …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …

Multi-level image segmentation is a critical task in image processing that involves multiple
threshold values. As the high computational cost of an exhaustive search is inefficient and …

Image segmentation is one of the crucial steps involved in the process of digital image
processing. Bi-level segmentation is a simple task, but it can only be used when there are …