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 …

Multilevel thresholding is one of the most effective image segmentation methods, due to its
efficiency and easy implementation. This study presents a new multilevel thresholding …

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 …

Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds 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 …

The traditional threshold methods used for image segmentation are effective for bi-level
thresholds. In the case of complex images that contain many objects or color images, the …

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 …

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

Since the conventional multilevel thresholding approaches exhaustively search the optimal
thresholds to optimize objective functions, they are computational expensive. In this paper …

Multi-level thresholding image segmentation divides an image into multiple regions of
interest and is a key step in image processing and image analysis. Aiming toward the …