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http://dx.doi.org/10.5394/KINPR.2004.28.1.043

On-line Surface Defect Detection using Spatial Filtering Method  

Moon, Serng-Bae (Training ship Hanbada, National Korea Maritime University)
Jun, Seung-Hwan (Department of Ship Operation System Engineering, National Korea Maritime University)
Abstract
Defects inspection of commodities are very important with those design and manufacturing process and essential to strengthen the competitiveness of those. If on-line automatic defects detection is performed without damaging to products, the production cost shall be curtailed through the reducing man-power, economical management of Q.C(Quality Control). In this paper, it is suggested three spatial filtering methods which can extract the necessary information in case of defects being on the surface of object like iron plate. In addition, the dependence of filtering characteristics on parameters such as the pitch and width of slits is analyzed and the surface defect detection system is constructed. Several experiments were carried out for determining the adequate spatial filtering method through comparing and analyzing effects of parameters like defect's size and shape, intensity of light, noise of coherent source and slit number.
Keywords
Defects inspection; Spatial filtering method; Defect′s size and shape; Surface defect detection; Slit number;
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