Image segmentation is one of the essential problems in computer vision and image
processing. It works by partitioning a digital image into multiple regions or sets. The …

Image thresholding is usually applied as an initial step in many algorithms for image
analysis, object representation and visualization. Although many image thresholding …

Thresholding is an important technique for image segmentation that extracts a target from its
background on the basis of the distribution of gray levels. Many automatic threshold …

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 …

Image segmentation plays an important and basic role in image processing and pattern
recognition. Its purpose is to separate areas that do not superpose each other and to obtain …

Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …

Threshold plays a vital role in classification of objects and background in a given scene and
hence segmentation. Determination of optimal threshold is hard for images exhibiting …

A comparative performance study of five global thresholding algorithms for image
segmentation was investigated. An image database with a wide variety of histogram …

Thresholding is an important step in many computer vision tasks such as image
segmentation. However, selection of the optimal threshold value often appears as a …

Thresholding is an important approach for image segmentation and it is the first step in the
image processing for many applications. Segmentation is a low level operation that can …