Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …

Multilevel thresholding method is one of the most popular techniques in image
segmentation. However, the multilevel thresholding method is time-consuming, its time …

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 …

This paper proposes a new multi-level entropy-based image thresholding method. The key
principle of the proposed method depends on the minimum of the variance entropy. The …

In digital image processing, one of the most relevant tasks is to classify pixels depending on
their intensity level. To perform this process there exist different traditional methods as Otsu …

Color image thresholding is a well-known approach for image segmentation. An objective
function, based on image entropy, is defined by threshold numbers and locations in the color …

In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

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 …

Thresholding is one of the popular and fundamental techniques for conducting image
segmentation. Many thresholding techniques have been proposed in the literature. Among …

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 …