Segmentation is low-level image transformation routine that partitions an input image into
distinct disjoint and homogeneous regions using thresholding algorithms. This paper …

Thresholding is a popular image segmentation method that converts gray-level image into
binary image. The selection of optimum thresholds has remained a challenge over decades …

Image segmentation is an important problem for image processing. The image processing
applications are generally affectedfromthe segmentation success. There is noany image …

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 thresholding is a method that is widely used in image segmentation. The
thresholding problem is treated as an optimization problem with an objective function. In this …

One of the critical tasks in image processing is image segmentation. Image thresholding is
the simplest technique of segmentation in two forms of bi‐level and multilevel. One …

Multilevel image thresholding is an important operation in many analyses which is used in
many applications. Selecting correct thresholds is a critical issue. In this paper, Bacterial …

This paper proposes a multilevel thresholding technique for image segmentation, using an
image enhancing technique and an improvised algorithm called Half-life Constant Particle …

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 …

High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …