High level tasks in image analysis and understanding are based on accurate image
segmentation which can be accomplished through multilevel thresholding. In this paper, we …

Image segmentation is one of the most difficult and important tasks in digital image
processing. The accuracy and effect of segmentation determine the final success or failure of …

Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

Image segmentation is the most important step in modern computer vision. Its output is
crucial for all the other stages of computer vision. The literature is very rich in segmentation …

A standard approach to threshold selection for image segmentation is based on locating
valleys in the image's gray level histogram. Several methods have been proposed that …

Image segmentation is a critical task and many algorithms have been proposed in the
literature. However, how to select the best technique when facing a real application is still an …

A novel algorithm is proposed for segmenting an image into multiple levels using its mean
and variance. Starting from the extreme pixel values at both ends of the histogram plot, the …

In this paper, an efficient approach to search for the global threshold of image using
Gaussian mixture model is proposed. Firstly, a gray-level histogram of an image is …

Multilevel thresholding has been one of the most popular image segmentation techniques;
however, most of these techniques are time-consuming. This paper proposes a cooperative …

Multi-level thresholding is one of the essential approaches for image segmentation.
Determining the optimal thresholds for multi-level thresholding needs exhaustive searching …