Multilevel thresholding is one of the most popular image segmentation techniques. In order
to determine the thresholds, most methods use the histogram of the image. This paper …

Image segmentation is a significant technology for image process. Many segmentation
methods have been brought forward to deal with image segmentation, among these …

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 …

This paper presented a hybrid optimal estimation algorithm for solving multi-level
thresholding problems in image segmentation. The distribution of image intensity is modeled …

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 …

The conventional multilevel thresholding methods are efficient for bi-level thresholding.
However, they are computationally expensive extending to multilevel thresholding since …

A new image thresholding method based on multiobjective optimization following the Pareto
approach is presented. This method allows to optimize several segmentation criteria …

Bi-level image thresholding methods can be easily extended to multilevel cases. However,
extended versions are computationally expensive. In this paper, we propose first a …

Multi-level image thresholding is a popular approach for image segmentation where the
image is divided into several non-overlapping regions based on the image histogram …

At present, the research about fast algorithm for multi-threshold image segmentation is
mostly focused on bionic algorithm. Many of bionic algorithms, such as particle swarm …