Journal
SIGNAL PROCESSING
Volume 92, Issue 12, Pages 2931-2939Publisher
ELSEVIER
DOI: 10.1016/j.sigpro.2012.05.025
Keywords
Image thresholding; Tsallis entropy; Long-range correlation; Nonextensive parameter
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Funding
- National Natural Science Foundation of China [11005041]
- Natural Science Foundation of Fujian Province [2010J05007]
- Basic Science Research Foundation of Huaqiao University [JB-SJ1005, 09BS51]
- Key Discipline Construction Project of Huaqiao University
- Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry
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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.
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