A FPC Manufacturing Defect Detection Algorithm Based on Skeleton Extraction
This article takes the gold finger of a domestic mobile phone FPC as the research object,and proposes a defect detection algo-rithm based on skeleton extraction to address the frequent occurrence of short circuit and open circuit defects in the manufacturing process.This algorithm is based on skeleton extraction,combined with 8-neighborhood analysis of skeleton points,region growth method,and image difference method to achieve defect detection of short circuit and open circuit types in FPC manufacturing defects.Through experi-ments,this method has achieved good detection results.
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