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A Novel Edge Feature Description Method for Blur Detection in Manufacturing Processes
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A novel inspection sensor by using an edge feature description (EFD) algorithm based on a support vector machine (SVM) is proposed for industrial inspection of images.
This method detects and adaptively segments blurred images by using the proposed algorithm, which uses EFD to effectively classify blurred samples and improve the conventional methods of inspecting blurred objects; the algorithm selects and optimally tunes suitable features.
The proposed sensor applies a suitable feature-extraction strategy on the basis of the sensing results.
Experimental results demonstrate that the proposed method outperforms the existing methods.
American Psychological Association (APA)
Lin, Tsun-Kuo. 2015. A Novel Edge Feature Description Method for Blur Detection in Manufacturing Processes. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110558
Modern Language Association (MLA)
Lin, Tsun-Kuo. A Novel Edge Feature Description Method for Blur Detection in Manufacturing Processes. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110558
American Medical Association (AMA)
Lin, Tsun-Kuo. A Novel Edge Feature Description Method for Blur Detection in Manufacturing Processes. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110558