… The traditional techniques used to optimize thresholding are … in a segmented image) or
non-parametric [8] (optimal threshold … Siarry, “Fast multilevel thresholding for image segmentation …

… Citation1990), whereas non-parametric methods are based on … that the Otsu method is
significantly faster than SSIM and PSNR … Image segmentation by multi-level thresholding using …

… these others in segmentation precision and convergence speed. … of the multi-level thresholding
image segmentation method … The Wilcoxon rank-sum test is a non-parametric test used to …

… AOA global optimization and DE fast convergence. The … other methods; also, the
DAOA provided a faster convergence … Friedman ranking test: The Friedman test is the non-parametric …

… Non-parametric approaches find the thresholds by … DE method performs multilevel
thresholding segmentation by … function to perform multi-level thresholding segmentation. MPSO …

… is generally classified as bi-level and multi-level thresholding… and intuitive technique
such as non-parametric MCE is most … Excellent segregation of population results in fast …

… It is both non-parametric and unsupervised. Initially, 1-D Otsu’… for multi-level thresholding-based
image segmentation till date … It gives better threshold values and has faster convergence …

… ANALYSIS A non-parametric statistical analysis based on … images using multi-level threshold
methods and geometrical … algorithm-based fast multilevel thresholding for color image …

… Bi-level thresholding is easier to implement than multi-level … are also divided into parametric
and non-parametric [1, 29]. … more accurate and gives fast segmentation results due to …

… segmenting images of large size with uniform intensities. But for images with variable intensities,
multi-level thresholding … variance is a non-parametric segmentation technique aimed at …