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Overview on machine vision methods for finding defects in transparent objects

 
: Meyer, J.

:
Volltext urn:nbn:de:0011-n-4175730 (1.1 MByte PDF)
MD5 Fingerprint: 6e6ce27824cd81d0a637fe5af0e23e40
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Erstellt am: 25.10.2016


Beyerer, Jürgen (Ed.) ; Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung -IOSB-, Karlsruhe; Karlsruhe Institute of Technology -KIT-, Lehrstuhl für Interaktive Echtzeitsysteme -IES-:
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2015. Proceedings : July, 19 to 26, Triberg-Nussbach, Germany
Karlsruhe: KIT Scientific Publishing, 2016 (Karlsruher Schriften zur Anthropomatik 24)
ISBN: 978-3-7315-0519-8
S.103-112
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2015, Triberg-Nussbach>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Machine vision methods are widely and successfully used for assuring the quality of any produced goods. Many of these methods require the test object’s surface to be either nearly Lambertian or specular. Since transparent materials do not meet these requirements, suitable approaches for the inspection of transparent materials are needed. This paper provides an overview on existing methods for testing transparent objects for enclosed impurities, defects affecting the shape or anomalies of the index of refraction. Besides, possible topics for conducting further research are identified.

: http://publica.fraunhofer.de/dokumente/N-417573.html