Tsallis entropy and the long-range correlation in image thresholding

Authors:
Qianqian Lin;Congjie Ou
Affiliations:
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China;College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
Venue:
Signal Processing
Year:
2012

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Abstract

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.