In this paper, we examine a multi-level thresholding algorithm based on a number of phases
including peak-search, fuzzy logic and entropy of the fuzzy membership function. Analysis …

… A fuzzy-entropic thresholding method is included by way of comparison. … a parallel algorithm
to further reduce the computation time. As it turns out, a particular parallel decomposition is …

… In order to overcome the difficulties of the segmentation caused by the color variation of
the lean tissue, the auto-thresholding algorithm using the entropic correlation method was …

… For that purposes we have implemented a slightly modified version of fuzzy entropic auto
thresholding algorithm based on the S-function membership and the Shannon’s entropy …

An efficient method for two-level thresholding is proposed based on the Bayes formula and
the maximum entropy principle, in which no assumptions of the image histogram are made. …

… a entropic correlation criterion function, and the optimal threshold is determined by maximizing
the entropic … in a parallelization computation form on a parallel workstation. However, the …

… The entropic thresholding method is developed by Pun. The entropy of the histogram after
thresholding is selected as the criterion. According to the definition of entropy (in Shannon’s …

… Another important advantage is that the GA-based method can be faster by parallel
implementation. In this paper, we propose a conditional probability entropy (CPE) based on …

… Lasers are coherent light sources that produce parallel, single-frequency and in-phase
electromagnetic waves. When a beam of laser light passes … Parallel entropic auto-thresholding …

… Entropic approaches have been widely used for the automatic image … The entropic
approach for image segmentation can be divided into global and … Parallel entropic auto-thresholding …