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 …

For the image segmentation by the histogram bilevel thresholding, several methods have
been proposed. However, they are computationally time consuming and their effectiveness …

A new wavelet-based automatic multi-level thresholding technique is proposed. The new
technique is a generalized version of the method proposed by Olivo [1]. Olivo [1] proposed …

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 …

A new method of thresholding a gray-scale image into a desired number of classes is
proposed in this paper. The proposed method first evaluates the number of peaks in the …

This paper describes an automatic threshold selection method for picture segmentation,
using the entropy of the grey level histogram. It is shown that, by an a priori maximation of an …

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

In this paper, a hybrid approach, which is based on Gaussian smoothing and a genetic
algorithm (GA), is proposed for automatic multilevel image thresholding. Using a mixture …

Thresholding is a commonly used technique for image segmentation. This paper presents
an efficient iterative algorithm for finding optimal thresholds that minimize a weighted sum-of …