We introduce an alternative hybrid swarm algorithm for image segmentation that employs
multilevel thresholding techniques. For the hybridization, we have combined the whale …

Automatic thresholding has been widely used in machine vision for automatic image
segmentation. Otsu's method selects an optimum threshold by maximizing the between …

In order to obtain a group of satisfying thresholds in image segmentation quickly and
accurately, this paper proposed a method based on shuffled frog leaping (SFL) algorithm …

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

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

Multilevel thresholding using Otsu or Kapur methods is widely used in the context of image
segmentation. These methods select optimal thresholds in gray level images by maximizing …

Thresholding is an important step in many computer vision tasks such as image
segmentation. However, selection of the optimal threshold value often appears as a …

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

Otsu's method of image segmentation selects an optimum threshold by maximizing the
between-class variance in a gray image. However, this method becomes very time …

Multilevel thresholding has got more attention in the field of image segmentation recently.
However, it is still challenging and complicated for color image segmentation in many …