… A parameter ‘q’ called entropic index or Tsallis parameter is also … Tsallis entropy based
method for image thresholding. The proposed method is used for maximizing the Tsallis entropy…

… Tsallis entropy for multilevel thresholding has been proposed toward the effective colored
segmentation of satellite images. The nonextensive entropy … search and Tsallis entropy based …

… machine vision the 2-D entropy based level 2-D entropy based except the one conference …
levels was not we propose a multi-level the 2-D Tsallis entropy D histogram and multiistogram …

… Multilevel thresholding is a simple and effective method in numerous image segmentation
applications. In this paper, we propose a new multilevel thresholding … optimum thresholding …

… This paper proposes the development of a novel optimal multilevel thresholding algorithm,
especially suitable for multimodal image histograms, for segmentation of ten benchmarked …

… say that Tsallis entropy method is best method then kapur’s entropy. Tsallis entropy is robust
… Panigrahi, Tsallis entropy based optimal multilevel thresholding using cuckoo search algo…

… multilevel thresholding technique that combines intuitionistic fuzzy sets and tsallis entropy
… made between the eight existing multilevel thresholding implementations so as to show the …

… Primarily, Tsallis entropy-monitored multilevel thresholding is implemented for the brain MRI
dataset based on CA. Afterward, the skull section is detached by means of an image filtering …

… , bi-level thresholding can be used to create binary images, while multilevel thresholding
determines multiple … In this paper, we applied Tsallis entropy to take replace of traditional MET. …

… In this paper, PSO based multilevel thresholding using Kapur’s and Tsallis entropy was
explored for the segmentation of the brain image into its various constituents. The method works …