is-Entropy: A Novel Uncertainty Measure for Image Segmentation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3089-8_43
Reference15 articles.
1. Chakraborty, S., Paul, D., Das, S.: $$ t $$-entropy: a new measure of uncertainty with some applications. In: 2021 IEEE International Symposium on Information Theory (ISIT), pp. 1475–1480. IEEE (2021)
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3. Ghosh, A., Basu, A.: A generalized relative $$(\alpha $$, $$\beta )$$-entropy: geometric properties and applications to robust statistical inference. Entropy 20, 347 (2018)
4. Kapur, J.N., Sahoo, P.K., Wong, A.K.: A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 29(3), 273–285 (1985)
5. Lang, C., Jia, H.: Kapur’s entropy for color image segmentation based on a hybrid whale optimization algorithm. Entropy 21(3), 318 (2019)
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