Tsallis entropy and the long-range correlation in image thresholding
Tsallis entropy and the long-range correlation in image thresholding
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Tsallis 熵和图像阈值处理中的长程相关性
DOI：
10.1016/j.sigpro.2012.05.025
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发表时间：
2012-12-01
影响因子：
4.4
通讯作者：
Ou, Congjie
中科院分区：
文献类型：
--
作者：
Lin, Qianqian;Ou, Congjie
近年来，人们提出并发展了一些基于熵的数据保持方法。本文提出了一种改进的基于Tsallis熵的阈值分割方法，用于分割具有局部长程相关性的图像。该方法的优点是通过非广延参数q来区分像素的局部长程相关性。各种红外图像和无损检测图像的实验结果表明了该方法的有效性。(C)2012 Elsevier B.V.保留所有权利。
Thresholding methods based on entropy have been proposed and developed over the years. In this paper, an improved Tsallis entropy based thresholding method is proposed for segmenting the images which presenting local long-range correlation rather than global long-range correlation. The advantage of the proposed method is to distinguish the pixels' local long-range correlation by the nonextensive parameter q. And the experimental results of various infrared images as well as nondestructive test ones show the effectiveness of the proposed method. (C) 2012 Elsevier B.V. All rights reserved.