Abstract
Abstract A classification algorithm and optimal feature selection methodology are developed for implementation on an automated solder defect inspection system. Computer-generated three-dimensional geometric models of solder joint defects are used to train the system and simulate defect classification. System performance is assessed through simulation and is shown to be successful at classification of dominant solder defects, including simultaneously occurring defects and overlapping defect classes.
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