Notes on Poisson distribution-based minimum error thresholding
Notes on Poisson distribution-based minimum error thresholding
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DOI：
10.1016/s0167-8655(98)00028-2
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发表时间：
1998-04-01
影响因子：
5.1
通讯作者：
Fan, JL
中科院分区：
文献类型：
--
作者：
Fan, JL
Pal和Bhandari[论目标背景分类]。Int。j .系统。Sci. 23(1992) 1903-1920]修正了Kittler和Illingworth提出的最小误差阈值[最小误差阈值]。模式识别19(1986)41-47]，提出了基于泊松分布的最小误差阈值。本文用相对熵和极大似然原理解释了基于泊松分布的最小误差阈值法。(C) 1998 Elsevier Science B.V.版权所有
Pal and Bhandari [On object background classification. Int. J. Syst. Sci. 23 (1992) 1903-1920] modified the minimum error threshold originated by Kittler and Illingworth [Minimum error thresholding. Pattern Recognition 19 (1986) 41-47], proposing the Poisson distribution-based minimum error threshold. In this paper, Poisson distribution-based minimum error thresholding is explained using relative entropy and the maximum likelihood principle. (C) 1998 Elsevier Science B.V. All rights reserved.