… 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 …

… fuzzy sets (equivalently, images)… fuzzy entropies which are useful for image thresholding
by cost minimization. Assuming the image to be a degraded version of an ideal two level image (…

… This paper presents a multi-level image thresholding approach based on fuzzy partition of
the image histogram and entropy theory. Here a fuzzy entropy based approach is adopted in …

… Recently, fuzzy set theory has been applied to image thresholding, and fuzzy entropy based
… These applications are based on the general belief that image processing bears some …

… This paper presents a new method for image thresholding based on type II fuzzy entropy (TII-FE)
and a hybrid Evolutionary Computation Algorithm (ECA). The hybridization of …

… 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 …

… types of medical image segmentation are presented and … of fuzzy entropy with a level set
(FELs) thresholding. The proposed method was successfully utilized to segment cancer images …

… degree of uncertainty in an image as its fuzzy entropy instead of the conventional probability
measure. The threshold is selected by maximizing the fuzzy entropy of the image. Section 2 …

… In this study, the maximum fuzzy entropy and fuzzy c-partition methods are used … threshold
selection method. For this aim, Shannon entropy, Sure entropy, Havrada and Charvat entropy …

… In this paper, we have described a fast multi-level thresholding method that used the fuzzy
entropy as the evaluation criterion. The thresholding method was based on a tissue P system. …