Classic statistical thresholding methods based on maximizing between-class variance and
minimizing class variance fail to achieve satisfactory results when segmenting a kind of …

Image thresholding is the simple and widely used image segmentation method in automatic
image analysis. In this paper, a novel image thresholding technique based on the local …

One of the critical tasks in image processing is image segmentation. Image thresholding is
the simplest technique of segmentation in two forms of bi‐level and multilevel. One …

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

Thresholding is an important technology for image segmentation. Before we get the
segmentation thresholds, most segmentation technologies need to set many parameters …

A global image thresholding algorithm based on boundary selection is proposed for
improving conventional histogram-based thresholding algorithms. An image is divided into …

Image segmentation is an important and fundamental task in many digital image processing
systems. Image segmentation by thresholding is the simplest technique and involves the …

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

In this paper, we present a new multi-level image thresholding technique, called Automatic
Threshold based on Multi-objective Optimization “ATMO” that combines the flexibility of multi …

We present a new thresholding method for image segmentation in which thresholds are
selected on the basis of a minimum weighted squared-distortion criterion. An iterative …