Image segmentation is among most often used techniques for image analysis and one
standard way to do it is multilevel tresholding. The selection of optimum thresholds has …

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 …

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 …

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

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

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …

Segmentation is an important step of image processing that directly affects its success.
Among the methods used for image segmentation, histogram-based thresholding is a very …

The image segmentatation technique that is often used is thresholding. Image segmentation
is a process of dividing the image into different regions according to their similar …

This chapter proposes a new method for determining the multilevel thresholding values for
image segmentation. The proposed method considers the multilevel threshold as multi …