Fringe image quality estimation to a 3D measurement path optimization

Cezary Kosinski; Maria Pirga

doi:10.1117/12.248554

26 August 1996 Fringe image quality estimation to a 3D measurement path optimization

Cezary Kosinski, Maria Pirga

Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996) https://doi.org/10.1117/12.248554
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

Processing of a visual information is willingly used in 3D measurement because of indubitable advantages: non-contact data acquisition and full-field result. An accuracy and time of measurement depends strongly on proper hardware settings and algorithm selection. Usually, the system has to be supervised by experiences staff. Now the new approach to the 3D measurement is proposed. In order to obtain the full automation of a measurement process, the easy programmable liquid crystal spatial light modulator and the image quality evaluation module is implemented. Quality parameters calculation, decision rules and examples of results before and after optimization are presented.

Citation Download Citation

Cezary Kosinski and Maria Pirga "Fringe image quality estimation to a 3D measurement path optimization", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); https://doi.org/10.1117/12.248554

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