RT Conference Proceedings
T1 A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
A1 Cañero-Nieto, Juan Miguel
A1 Solano-Martos, José Francisco
A1 Martín-Fernández, Francisco de Sales
AB The present work is intended for residual oxide scale detection and classification through the application of image processingtechniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in aproduction line. From a previous detailed study over reflectance of residual oxide defect, we present a comparative study ofalgorithms for image segmentation based on thresholding methods. In particular, two computational models based on multi-linearregression and neural networks will be proposed. A system based on conventional area camera with a special lighting wasinstalled and fully integrated in an annealing and pickling line for model testing purposes. Finally, model approaches will becompared and evaluated their performance..
YR 2019
FD 2019-07-15
LK https://hdl.handle.net/10630/18045
UL https://hdl.handle.net/10630/18045
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026