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Proceedings Paper

An automated imaging BRDF polarimeter for fruit quality inspection
Author(s): Jacob Boyer; Janos C. Keresztes; Wouter Saeys; John Koshel
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Paper Abstract

The purpose of this project was to test and implement recent research of polarization and scatter properties that suggest using a cross polarization imaging system to reduce glare artifacts. In particular, the use of this research is to improve the machine vision of apple quality detection in the food industry. The automated measurement system was implemented by acquiring pictures at different angles and different polarization states of apples. The opto-mechanics, system integration, synchronization and data collection are controlled with LabVIEW.

Paper Details

Date Published: 17 October 2016
PDF: 9 pages
Proc. SPIE 9948, Novel Optical Systems Design and Optimization XIX, 99481G (17 October 2016); doi: 10.1117/12.2239008
Show Author Affiliations
Jacob Boyer, College of Optical Sciences, The Univ. of Arizona (United States)
Janos C. Keresztes, KU Leuven (Belgium)
Wouter Saeys, KU Leuven (Belgium)
John Koshel, College of Optical Sciences, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 9948:
Novel Optical Systems Design and Optimization XIX
Arthur J. Davis; Cornelius F. Hahlweg; Joseph R. Mulley, Editor(s)

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