Fast Threshold Selection Algorithm of Infrared Human Images Based on Two-Dimensional Fuzzy Tsallis Entropy
Joint Authors
Yang, Shu-hong
Xia, Dong-xue
Li, Chun-gui
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Infrared images are fuzzy and noisy by nature; thus the segmentation of human targets in infrared images is a challenging task.
In this paper, a fast thresholding method of infrared human images based on two-dimensional fuzzy Tsallis entropy is introduced.
First, to address the fuzziness of infrared image, the fuzzy Tsallis entropy of objects and that of background are defined, respectively, according to probability partition principle.
Next, this newly defined entropy is extended to two dimensions to make good use of spatial information to deal with the noise in infrared images, and correspondingly a fast computation method of two-dimensional fuzzy Tsallis entropy is put forward to reduce its computation complexity from O(L2) to O(L).
Finally, the optimal parameters of fuzzy membership function are searched by shuffled frog-leaping algorithm following maximum entropy principle, and then the best threshold of an infrared human image is computed from the optimal parameters.
Compared with typical entropy-based thresholding methods by experiments, the method presented in this paper is proved to be more efficient and robust.
American Psychological Association (APA)
Xia, Dong-xue& Li, Chun-gui& Yang, Shu-hong. 2014. Fast Threshold Selection Algorithm of Infrared Human Images Based on Two-Dimensional Fuzzy Tsallis Entropy. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-462230
Modern Language Association (MLA)
Xia, Dong-xue…[et al.]. Fast Threshold Selection Algorithm of Infrared Human Images Based on Two-Dimensional Fuzzy Tsallis Entropy. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-462230
American Medical Association (AMA)
Xia, Dong-xue& Li, Chun-gui& Yang, Shu-hong. Fast Threshold Selection Algorithm of Infrared Human Images Based on Two-Dimensional Fuzzy Tsallis Entropy. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-462230
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462230