In this study, we have proposed an efficient automatic multilevel thresholding method for
image segmentation. An effective criterion for measuring the separability of the homogenous …

Image thresholding based on rough entropy is an efficient image segmentation technique.
The optimal thresholds of the existing exponential and logarithmic rough entropy …

Image segmentation is one of the most critical tasks in image analysis. Thresholding is
definitely one of the most popular segmentation approaches. Among thresholding methods …

There are many techniques for conducting image analysis and pattern recognition. This
papers explores a way to optimize one of these techniques—image segmentation—with the …

We propose a novel multi-level thresholding method for unsupervised separation between
objects and background from a natural color image using the concept of the minimum cross …

Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …

Multi-level thresholding is a helpful tool for several image segmentation applications.
Evaluating the optimal thresholds can be applied using a widely adopted extensive scheme …

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 …

Multi-level image thresholding is the most direct and effective method for image
segmentation, which is a key step for image analysis and computer vision, however, as the …

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 …