Multilevel thresholding is a widely used image segmentation technique. However, multilevel
thresholding becomes more and more computationally expensive as the number of …

In this paper, five successful nature inspired algorithms; the artificial tree algorithm (AT), the
particle swarm optimization (PSO), the genetic algorithm (GA), the cultural algorithm (CA) …

Image segmentation is a method of subdividing an image into numerous meaningful regions
or objects, which shows the image more informative for further analysis. Thresholding based …

Thresholding is a popular image segmentation method that converts gray-level image into
binary image. The problem of thresholding has been quite extensively studied for many …

In this paper, a multilevel thresholding method which allows the determination of the
appropriate number of thresholds as well as the adequate threshold values is proposed …

The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …

Particularly in recent years, there has been increased interest in determining the ideal
thresholding for picture segmentation. The best thresholding values are found using various …

Due to its successful application image processing or computer vision system, image
segmentation plays a significant role and has become a hot research hotspot. In this paper …

Multilevel thresholding is a popular image segmentation technique. However, computational
complexity of multilevel thresholding increases very rapidly with increasing number of …