This paper presents a novel lighting system to reveal surface defects on transparent parts with non-planar surface. Thanks to this system, the defect segmentation is straightforward and fast to compute and so a real-time inspection of these parts is possible. To aid in the conception of the imaging conditions, the lighting system is completely described and also a comparative study with others commercial lighting systems is done. Then, a new adaptive threshold selection algorithm for defect segmentation is proposed. Finally, the system performance is assessed using a commercial model of headlamp lens.
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