DocumentCode :
1981788
Title :
Residual oxides detection and measurement in stainless steel production lines
Author :
Spinola, C.G. ; Bonelo, J.M. ; Cañero, J.M. ; Espejo, S. ; Morilla, S. ; Luque, R.M. ; Martín-Vazquez, M.J. ; Garcia-Vacas, F. ; Gálvez-Fernández, C. ; Vizoso, J. ; Muñoz-Pérez, J.
Author_Institution :
Dept. of Electron., Univ. of Malaga, Malaga
fYear :
2009
fDate :
11-13 May 2009
Firstpage :
76
Lastpage :
79
Abstract :
In this paper, we present a system to detect and measure the amount of residual oxide stains remaining in the surface of stainless steel coils after the pickling process in a production line. The system is able to acquire clear images of the stainless steel surface with the appropriate illumination and magnification, while it is being produced. These images are processed and analyzed in real time in order to detect and measure the oxide stains which typically are between 50 and 200 microns in size. We present here an outline of the acquisition system and the image processing algorithm which has been designed to detect this sort of defect.
Keywords :
image processing; production engineering computing; stainless steel; steel manufacture; acquisition system; image processing algorithm; oxide stains; pickling process; residual oxides detection; residual oxides measurement; stainless steel production lines; Coils; Image processing; Lighting; Production systems; Reflectivity; Rough surfaces; Steel; Surface roughness; Surface treatment; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3819-8
Electronic_ISBN :
978-1-4244-3820-4
Type :
conf
DOI :
10.1109/CIMSA.2009.5069922
Filename :
5069922
Link To Document :
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