Visual quality inspection and fine anomalies: Methods and application

Abstract

This study develops a surface inspection methodology used to detect complex geometry products and metallic reflective surfaces imperfections. This work is based on combination of three complementary methods: an optical one (structured light information), an algorithmic one (data processing) and a statistical one (parameters processing). A usual industrial application illustrates this processing.