… optimal choice of these thresholds by Otsu is time-consuming. In this study, the value of optimal
thresholds in Otsu thresholding … [10] to calculate the optimal thresholds in the histogram …

… method based on the whale optimization algorithm (RAV-WOA) is proposed, with the
between-class variance (Otsu method) as … algorithm for the multilevel thresholding of images with …

… Subsequently, Otsu’s method can be applied to find the optimal threshold by maximizing
the between-class variance ( σ B 2 ) with the sets of i Ω and g Ω . That is(21) j ∗ = arg 0 ⩽ j ⩽ M …

… variance as an optimal threshold value. … threshold value. This paper is organized as follows:
In Section 2 we discuss the basics of the Otsu and Gaussian Otsu thresholding algorithms. In …

… whale optimization algorithm proposed in this paper is used to calculate the threshold. The
… Improved wolf group optimization 2-D Otsu threshold segmentation algorithm was proposed …

… However, selecting the optimal thresholds with high accuracy … thresholding method using
between-class variance (Otsu) based on an improved invasive weed optimization algorithm (…

… The Otsu threshold segmentation method can be extended from a single threshold to a
multi-level threshold … particle swarm optimization algorithm with the maximum inter-class variance …

… (ACO) algorithm has been introduced to optimize the thresholding search … To increase
the searching speed of the multi-thresholding of Otsu … 2.1 Otsu thresholding segmentation …

… The proposed work is made with primary algorithm limits, search dimension selected as ‘n’, …
for every threshold. In this work, robustness of Otsu-guided HSOA algorithm is experienced …

… optimization algorithm based thresholding … method presents the optimal values by
maximizing the objective function. In the present work, Otsu’s nonparametric segmentation method …