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A Method for Identifying Defects on Highly Reflective Roller Surface Based on Image Library Matching
Joint Authors
Shao, Wei
Peng, Peng
Shao, Yunqiu
Zhou, Awei
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Identification of the highly reflective surface defects on roller parts is a requirement to assure high quality of parts.
However, the highly reflective roller surface has the reflection characteristics, which easily lead to the missed detection or wrong detection of defect targets in the visual recognition process.
For this problem, a new identification method based on image library matching is proposed.
First, to protect the edge information of the defect target while eliminating noise, preprocessing of the measured initial images can be accomplished by using the accelerated optimized bilateral filtering.
Second, the entropy and grid gray gradient are used to achieve rough segmentation of highly reflective surface defects on roller parts.
Finally, a defect fine identification method based on the Hu invariant moment matching integrated with morphological classification is proposed for achieving image library matching and further quickly removing the pseudodefects.
Experimental tests were conducted to verify the effectiveness of the proposed method in achieving accurate identification of highly reflective surface defects on roller parts.
The proposed method has an accuracy of 98.2%, and the running time can basically meet the requirements of real-time performance.
American Psychological Association (APA)
Shao, Wei& Peng, Peng& Shao, Yunqiu& Zhou, Awei. 2020. A Method for Identifying Defects on Highly Reflective Roller Surface Based on Image Library Matching. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193567
Modern Language Association (MLA)
Shao, Wei…[et al.]. A Method for Identifying Defects on Highly Reflective Roller Surface Based on Image Library Matching. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1193567
American Medical Association (AMA)
Shao, Wei& Peng, Peng& Shao, Yunqiu& Zhou, Awei. A Method for Identifying Defects on Highly Reflective Roller Surface Based on Image Library Matching. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193567
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193567