Thresholding method is one of the most popular approaches for image segmentation where
an objective function is defined in terms of threshold numbers and their locations in a …

Otsu reference proposed a criterion for maximizing the between-class variance of pixel
intensity to perform picture thresholding. However, Otsu's method for image segmentation is …

Thresholding is one of the most widely used image segmentation operations; one
application is foreground-background separation. Multilevel thresholding is the extension to …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

Multilevel image thresholding is effectually technique used to segment many types of
images. It usually applied in image preprocessing phase. In this chapter, a review of gray …

Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …

In the fields of computer vision and digital image processing, image segmentation denotes a
process whereby an image is segmented into multiple regions. Image segmentation based …

Image segmentation is one of the most important tasks in image processing and pattern
recognition. One of the most efficient and popular techniques for image segmentation is …

Multi-level image thresholding segmentation divides an image into multiple non-overlapping
regions. This paper presents a novel two-dimensional (2D) histogram-based segmentation …

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