In order to improve the segmentation effect of image with high noise, a fast thresholding
segmentation method is proposed. Based on two-dimension histogram of image, parallel …

Thresholding is still one of the most common approaches to monochrome image
segmentation. It often provides sufficient accuracy and high processing speed. A problem to …

Though, there are many applications are affected by the segmentation methods and
algorithms, unfortunately, not one technique, but the threshold is the popular one. Threshold …

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 …

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 …

Segmentation is a process of dividing an image into distinct regions with the aim to extracts
object of interest from the background. The traditional thresholding and clustering …

The multilevel thresholding is an important technique for image processing and pattern
recognition. The maximum entropy thresholding has been widely applied in the literature. In …

Image segmentation is a challenging task in digital image processing. Thresholding, an
important technique for image segmentation, has gained considerable attention from the …

Image segmentation is a prominent task done in computer vision. Image thresholding is one
such technique in image segmentation. Thresholding is a method of categorizing image …

In computer vision, image segmentation is the process of partitioning a digital image into
multiple sections. The goal of segmentation is to simplify and/or change the representation …