Title :
Illumination design in vision-based measurement systems
Author :
Di Leo, G. ; Liguori, C. ; Pietrosanto, A. ; Paciello, V. ; Paolillo, Alfredo
Author_Institution :
Dept. of Ind. Eng. (DIIn), Univ. of Salerno, Fisciano, Italy
Abstract :
In industrial inspection systems adopting machine vision devices and algorithms, a fundamental role is played by the illumination sub-system, since its good design helps in making the software simpler and more robust and reliable. However, the configuration of the illumination parameters is often effected by trial and error and may result into non-optimal solutions, higher costs and worse uncertainty of final measurements. This paper describes an analytical model of the whole system composed of illuminator, surface under measurement and camera, which can be used as a basis to immediately set up the illumination subsystem. Results will be reported showing the achievable improvements, also as a reduction of the measurement uncertainty.
Keywords :
computer vision; inspection; lighting; measurement uncertainty; final measurements; illumination design; illumination parameters; industrial inspection systems; machine vision devices; measurement uncertainty; nonoptimal solutions; software simpler; surface under measurement; trial and error; vision-based measurement systems; Cameras; Image edge detection; Light emitting diodes; Lighting; Optical surface waves; Radiometry; Uncertainty; image analysis; inspection; lighting; measurement; radiometry; uncertainty;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555662