Cloud Model-Based Method for Infrared Image Thresholding
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-16
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Traditional statistical thresholding methods, directly constructing the optimal threshold criterion using the class variance, have certain versatility but lack the specificity of practical application in some cases.
To select the optimal threshold for infrared image thresholding, a simple and efficient method based on cloud model is proposed.
The method firstly generates the cloud models corresponding to image background and object, respectively, and defines a novel threshold dependence criterion related with the hyper-entropy of these cloud models and then determines the optimal grayscale threshold by the minimization of this criterion.
It is indicated by the experiments that, compared with selected methods, using both image thresholding and target detection, the proposed method is suitable for infrared image thresholding since it performs good results and is reasonable and effective.
American Psychological Association (APA)
Wu, Tao& Hou, Rui& Chen, Yixiang. 2016. Cloud Model-Based Method for Infrared Image Thresholding. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111744
Modern Language Association (MLA)
Wu, Tao…[et al.]. Cloud Model-Based Method for Infrared Image Thresholding. Mathematical Problems in Engineering No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1111744
American Medical Association (AMA)
Wu, Tao& Hou, Rui& Chen, Yixiang. Cloud Model-Based Method for Infrared Image Thresholding. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111744
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111744