2014 Canadian Conference on Computer and Robot Vision (CRV) (2014)
Montreal, QC, Canada
May 6, 2014 to May 9, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2014.48
A method for detecting local defects in moulded plastic parts is presented. The method uses deflectometry to produce a contrast enhanced image that is later processed in a novel algorithm. The method operates without the need for accurate mechanical models and is robust to changes in image resolution. Experimental results show that the method can detect subtle defects with over 90% accuracy on most parts.
Surface topography, Cameras, Noise, Phase measurement, Surface treatment, Surface reconstruction, Inspection,defect detection, deflectometry, structured light
Cole Tarry, Micheal Stachowsky, Medhat Moussa, "Robust Detection of Paint Defects in Moulded Plastic Parts", 2014 Canadian Conference on Computer and Robot Vision (CRV), vol. 00, no. , pp. 306-312, 2014, doi:10.1109/CRV.2014.48