… , also it is presenting a clear and fast method to extract … and nonparametric approaches
related to automatic threshold … to as multi-level thresholding, Equation (42) is explained [19]. …

… a multi-level image thresholding based hybridization strategy … two approaches: parametric
and non-parametric approaches… convergence speed or accuracy are all of these methods and …

… Non-parametric techniques use variance between classes, … in multi-level thresholding
inspite of its high computational cost. Nevertheless, the multilevel-based image segmentation …

… fuzzy entropy-based multi-level thresholding model for the proper segmentation of color
satellite … But computational time to find the optimal threshold values increases rapidly when the …

… multi-level threshold technologies in medical image segmentation, a method where the
non-parametric … Although its raising speed is not as fast as PSO and GA before the number of …

… In the non-parametric approaches, the thresholding method … thresholding based on Otsu’s
objective function was faster. … swarm optimization based Tsallis multi-level thresholding and …

… In a non-parametric approach, the threshold is determined to … adjusting their position and
speed based on the experiences … Multi-level thresholding of image segmentation is done using …

… Suggested methods for image segmentation fall into two … In non-parametric approach,
threshold values are estimated by … ,26 TDE27 and BDE28 in multilevel image thresholding. These …

… In addition, the Friedman test and non-parametric test Wilcoxon signed-rank are used to … ,
EDE shows the ability to approach the global optimal solution faster at the hybrid functions F13 …

… approaches and another one is non-parametric approaches. … the multilevel thresholding
problem for image segmentation … algorithms on a multi-level thresholding problem is discussed …