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 …

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 …

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 …

Thresholding is an easy yet efficient method in image segmentation, when dividing different
objects with distinct gray-levels. Its main problem is how effective the thresholds divide the …

Variance-based thresholding method is a very effective technology for image segmentation.
However, its performance is limited in traditional one-dimensional and two-dimensional …

A new multilevel thresholding based image segmentation technique is developed which
utilizes Masi entropy as an objective function. Thresholding is an important image …

Multilevel thresholding has been long considered as one of the most popular techniques for
image segmentation. Multilevel thresholding outputs a gray scale image in which more …

Thresholding is a fundamental approach to segmentation that utilizes a significant degree of
pixel popularity or intensity. Otsu's thresholding employed the normalized histogram as a …

In this paper, a multilevel thresholding method which allows the determination of the
appropriate number of thresholds as well as the adequate threshold values is proposed …

Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …