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Note on the equivalence relationship between Renyi-entropy based and Tsallis-entropy based image thresholding

机译:注意基于Renyi熵和基于Tsallis熵的图像阈值之间的等价关系

摘要

Renyi entropy based image thresholding in [Sahoo, P., Wilkins, C., et al., 1997. Thresholding selection using Renyi's entropy. Pattern Recognition 30 (1), 71-84; Sahoo, P.K., Arora, G., 2004. A thresholding method based on two dimensional Renyi's entropy. Pattern Recognition 37 (6), 1149-1161] and Tsallis entropy based image thresholding in [Albuquerque, M.P., Esquef, I.A., et al., 2004. Image thresholding using Tsallis entropy. Pattern Recognition Letters 25 (9), 1059-1065] are two important global threshold selection approaches in image segmentation. In this correspondence, the equivalence relationship between these two approaches is revealed, that is to say, with the same parameter, these two approaches will obtain the same threshold.
机译:在[Sahoo,P.,Wilkins,C。等人,1997中,基于Renyi熵的图像阈值化。使用Renyi's熵的阈值选择。模式识别30(1),71-84; Sahoo,P.K.,Arora,G.,2004。一种基于二维Renyi熵的阈值化方法。 [Albuquerque,M.P.,Esquef,I.A.,et al。,2004.使用Tsallis熵进行图像阈值化]中的模式识别37(6),1149-1161]和基于Tsallis熵的图像阈值化。模式识别字母25(9),1059-1065]是图像分割中的两种重要的全局阈值选择方法。在这种对应关系中,揭示了这两种方法之间的等效关系,也就是说,使用相同的参数,这两种方法将获得相同的阈值。

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    Wang S; Chung FL;

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  • 年度 2005
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  • 原文格式 PDF
  • 正文语种 eng
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