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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.

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

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Image processing combines the disciplines of cameras – image-based sensors – with the processing of the sensor data – the images. From this follows the particular attraction of this field. The conference proceedings at hand of the “Image Processing Forum”, which took place on 24.-25.11.2022 in Karlsruhe as a common event of the Karlsruhe Institute of Technology and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, contain the articles of the contributions.

Electrical engineering --- Bildverarbeitung --- automatische Sichtprüfung --- maschinelles Lernen --- bildgestützte Messtechnik --- image processing --- automated visual inspection --- machine learning --- image-based measurement technology