DocumentCode
2657455
Title
Detection of steel defect using the image processing algorithms
Author
Sharifzadeh, M. ; Alirezaee, S. ; Amirfattahi, R. ; Sadri, S.
Author_Institution
Isfahan Univ. of Technol., Isfahan
fYear
2008
fDate
23-24 Dec. 2008
Firstpage
125
Lastpage
127
Abstract
In this paper, detection and classification of steel surface defects is investigated. Image processing algorithms are applied for detecting four popular kind of steel defects, i.e., hole, scratch, Coil break and rust. The results show that the applied algorithms have a good performance on steel defect detection. Numerical results indicate that the implemented image processing algorithms have 88.4%, 78%, 90.4%, 90.3 % accuracy respectively on the hole, scratch, Coil break and rust defect.
Keywords
automatic optical inspection; image processing; mechanical engineering computing; steel; image processing algorithm; steel surface defect detection; Coils; Entropy; Humans; Image databases; Image edge detection; Image processing; Image segmentation; Inspection; Quality control; Steel; Automatic inspection; Image processing; Steel defect;
fLanguage
English
Publisher
ieee
Conference_Titel
Multitopic Conference, 2008. INMIC 2008. IEEE International
Conference_Location
Karachi
Print_ISBN
978-1-4244-2823-6
Electronic_ISBN
978-1-4244-2824-3
Type
conf
DOI
10.1109/INMIC.2008.4777721
Filename
4777721
Link To Document