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In machine vision, the illumination design has direct impact on the performance of a visual inspection system. In this work, a problem-specific illumination design is presented, which is motivated by optical feature extraction taking place during physical image acquisition. The approach is analyzed on the basis of a physically based camera and illumination model and is experimentally evaluated in different application scenarios.

Automatische Sichtprüfung, Beleuchtungsmodellierung, Beleuchtungsoptimierung, optische Merkmalsextraktion, inverse Beleuchtung, Machine Vision, Computational Illumination, light fields, inverse illumination, Automated Visual Inspection