An automated imaging BRDF polarimeter for fruit quality inspection
AffiliationUniv Arizona, Coll Opt Sci
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationJacob Boyer ; Janos C. Keresztes ; Wouter Saeys and John Koshel " An automated imaging BRDF polarimeter for fruit quality inspection ", Proc. SPIE 9948, Novel Optical Systems Design and Optimization XIX, 99481G (October 17, 2016); doi:10.1117/12.2239008; http://dx.doi.org/10.1117/12.2239008
Rights© 2016 SPIE
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractThe 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.
VersionFinal published version