… parameter combinations is too costly, in this paper PSO is introduced into fuzzy entropy
image segmentation to find the best fuzzy parameter combination adaptively. Considering the …

… the image thresholding for image segmentation by optimizing/maximizing the Shannon entropy
or fuzzy entropy … The proposed method for image thresholding is very simple and easy to …

… a new clustering method for segmentation of Magnetic resonance imaging (MRI) brain
images. Currently, when fuzzy clustering is applied to brain image segmentation, there are two …

… 2D weak fuzzy partition entropies using the new generalized fuzzy complement operator …
them into image segmentation. In addition, we consider using an image segmentation quality …

… In the paper, we present a three-level thresholding method for image segmentation based
on probability partition and fuzzy partition and entropy theory. We defined a new fuzzy entropy …

… entropy methods are widely adopted to measure the amount of fuzzy information for the image
segmentation … uncertainty of the image information [7], [8], [9]. The principal assumption of …

… fuzzy set is improved. In recent years, numerous image segmentation methods based on
fuzzy entropy have … are examined only the classical fuzzy entropy and the type II fuzzy entropy. …

… In this paper, a fuzzy approach for image segmentation based on Tsallis entropy is introduced…
In this paper, a new fuzzy method for image segmentation is introduced, which employs for …

… entropy formulas, this paper defines a new approach to fuzzy entropy and uses it to automatically
select the fuzzy … the fuzzy region based on the maximum fuzzy entropy principle and …

… image segmentation are presented and explained. We proposed a new method for cancer
segmentation on the basis of fuzzy entropy … successfully utilized to segment cancer images …