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Detected Point Clustering Algorithm For Automatic Visual Inspection  

Ryu, Sun Joong (Dept. of Mechanical Engineering, Dongyang Mirae University)
Publication Information
Journal of the Semiconductor & Display Technology / v.13, no.3, 2014 , pp. 1-6 More about this Journal
Abstract
Visual defect inspection for electronics parts manufacturing processes is comprised of 2 steps - automatic visual inspection by machine and inspection by human inspectors. It is necessary that spatial points which were detected by the machine should be adequately clustered for subsequent human inspection. This research deals with the spatial clustering algorithm for the purpose of process productivity improvement. Distribution based clustering is newly developed and experimentally confirmed to show better clustering efficiency than existing algorithm - area based clustering.
Keywords
automatic visual inspection; human inspectors; clustering;
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