Histogram based multilevel thresholding is one of the most aggressive methods to realize
image segmentation. We have used histogram based multilevel thresholding as a gray …

Multi-level based thresholding is one of the most imperative techniques to realize image
segmentation. In order to determine the threshold values automatically, approaches based …

Image Segmentation is an open research area in which Multi-level thresholding is a topic of
current research. To automatically detect the threshold, histogram-based methods are …

One of the most important methods of image processing is image thresholding, which is
based on image histogram analysis. These methods analyze the image histogram diagram …

Digital images are widely used and numerous application in different scientific fields use
digital image processing algorithms where image segmentation is a common task …

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) …

Multilevel image thresholding is an essential part of image processing. This paper presents
a hybrid implementation of fireworks and harmony search algorithm where Kapur's entropy …

Multilevel thresholding image segmentation has attracted a lot of attention in the last several
years since it has plenty of applications. The traditional exhaustive search methods are …

The drawback of the conventional multilevel thresholding methods is high computational
cost since they do exhaustive search among exponentialy growing number of possible …

Multilevel thresholding methods are efficient for image segmentation. In order to determine
the thresholds, most methods use histogram of the image. In this paper, a combinational …