… The multilevel thresholding problem … multilevel thresholding has been carried out by an
unsupervised global-level nonparametric approach. In the approach, PSO and ABC algorithms …

… On the other hand, optimization algorithms proved its … optimization algorithms a promising
way of solving thresholding … algorithms (NIOAs) and its applications in thresholding to optimize …

… are presented for the multilevel thresholding problem. For bi-level thresholding, there is a …
Multilevel thresholding uses m number of threshold values [t 1 , t 2 , . . ., t m ] to separate the …

… algorithms for multilevel color image thresholding problem which is a process used for
segmentation of an image into different regions. Thresholding … the multilevel thresholding problem…

… In this paper, we have described an optimal multilevel thresholding algorithm employing an
improved variant of PSO. This variant of PSO employs cooperative learning to decompose a …

… In this paper, three different algorithms for efficient multilevel thresholding have been
presented. Their time complexities of O ( M L 2 ) , O ( M L log L ) , and O ( M L ) provide an upper …

… Inspired by the idea as well as the characteristics of multilevel thresholding, we presented
a subspace elimination optimization (SSEO) method and applied it in multilevel thresholding. …

… In this paper, two new multilevel thresholding techniques based on BF and MBF algorithms
are developed to determine optimal thresholds. A comparative study between four intelligent …

… has been implemented for multilevel thresholding [12]. … Algorithm‖ or GbSA is introduced
for multilevel thresholding. The … search algorithm or as an Iterative local Search algorithm. Part …

… The definition of the multilevel thresholding problem is presented in this section. Assume …
Therefore, the aim of the multilevel thresholding method is to separate the image into its …