A Fast and Effective Image Preprocessing Method for Hot Round Steel Surface
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
With the development of computer vision technology, more and more enterprises begin to use computer vision instead of manual inspection for steel surface defect detection.
However, classical image processing methods often face great difficulties when dealing with images containing noise and distortions, which leads to low computational efficiency and poor accuracy of detection.
In view of the particularity of hot round steel production, a computational intelligence method is proposed in this paper.
On the basis of preliminary image preprocessing, we combine the improved PCA with genetic algorithm for feature selection and then use evolutionary computing and CUDA-based parallel computing to screen out the suspected defective image of round steel surface intelligently, quickly, and accurately.
This method can provide decision support for subsequent defect analysis and production process improvement.
American Psychological Association (APA)
Yan, Xuguo& Wen, Long& Gao, Liang. 2019. A Fast and Effective Image Preprocessing Method for Hot Round Steel Surface. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1198091
Modern Language Association (MLA)
Yan, Xuguo…[et al.]. A Fast and Effective Image Preprocessing Method for Hot Round Steel Surface. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1198091
American Medical Association (AMA)
Yan, Xuguo& Wen, Long& Gao, Liang. A Fast and Effective Image Preprocessing Method for Hot Round Steel Surface. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1198091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1198091