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An automated imaging BRDF polarimeter for fruit quality inspection

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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/622517
Date17 October 2016
CreatorsBoyer, Jacob, Keresztes, Janos C., Saeys, Wouter, Koshel, John
ContributorsUniv Arizona, Coll Opt Sci, College of Optical Sciences, The Univ. of Arizona (United States), KU Leuven (Belgium), KU Leuven (Belgium), College of Optical Sciences, The Univ. of Arizona (United States)
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeArticle
Rights© 2016 SPIE
Relationhttp://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2239008

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