… The threshold values were obtained by maximizing the total entropy by applying a … a
fuzzy-entropy based multi-level image segmentation process, boosted by Differential Evolution (DE) …

… entropy using Fuzzy partition with a novel threshold selection technique. In order to compute
the optimal threshold values, Differential Evolution (… on Tsallis-Fuzzy entropy and the results …

… time, this paper proposes a differential evolution approach combining filter and wrapper …
In order to compute the entire joint entropy within all classes, the complete fuzzy entropy is …

… In this paper, Differential Evolution (DE) has been used to find the maximum Tsallis entropy
for … fuzzy partition technique for image segmentation. A thorough literature survey reveals that …

… , which benefits from the developments of fuzzy sets. Fuzzy relative entropy leads to a method
that … problem and solved by a hybrid adaptive differential evolution (HADE) algorithm. The …

… combines differential evolution (DE) algorithm and image fuzzy entropy. First, the fuzzy entropy
… glands is used as the initial individual of the evolution of the population. Then, an optimal …

… of fuzzy mutual estimator and then adopt the criterion in differential evolution framework. …
The complete fuzzy entropy within all classes is defined as follows. (8) F H ( f , C ) = ∑ i c F …

… This paper extends Renyi entropy into fuzzy domain using trigonometric membership … kind
of fuzzy entropy, namely Fuzzy Renyi Entropy (FRE), and then follows the maximum entropy …

… Differential Evolution (DE) is a newly proposed evolutionary … to utilize partition entropy given
by fuzzy clustering for solving … Thus, when the entropy is low, algorithm parameters can be …

… We have compared the proposed Type II Fuzzy method with Type I Fuzzy entropy based
algorithm as in [8]. The test images thresholded by the proposed algorithm and the Type I …