… honey bee mating algorithm for image segmentation using multilevel thresholding based
on the Bayesian theorem (BHBMA), which has a powerful ability to conquer “the curse of …

… So, based on the above discussion, we propose a simpler and efficient PSO algorithm
based on Bayesian theorem and the characters of intensity images, which is called as …

… , several entropy-based thresholding methods including local … thresholding method is
proposed based on Bayes’s formula … The extension to the multilevel thresholding is discussed in …

… In the next section it is presented the related work and the background related to multilevel
thresholding and Bayesian networks. Section 3 describes every step of the proposal, while …

This paper presented a hybrid optimal estimation algorithm for solving multi-level thresholding
problems in image segmentation. The distribution of image intensity is modeled as a …

… thresholding is one of the most exploited techniques to accomplish image segmentation.
Multilevel thresholding … that minimizes the error in Bayes sense. In 1988, an effective survey on …

… It is shown that this formulation has a good performance to solve a major problem with
Bayes-theorem learning. Hereafter, fuzzy entropy has gained useful applications in many fields. …

… Then, the images were segmented using H-maxima and thresholding technique. … The
detected MAs candidates were classified using multilayer perceptron (MLP). After that, …

… Using Bayesian multilevel (BML) modeling, we control two types of error that are more …
The methodology also avoids the current practice of sharp and arbitrary thresholding in the p-…

… Multilevel thresholding for image segmentation is a crucial … )-based fast color image multilevel
thresholding scheme using two … problem and obtained Bayes minimum error threshold. …