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Acquisition and evaluation of illumination series for unsupervised defect detection

: Gruna, R.; Beyerer, J.

Postprint urn:nbn:de:0011-n-1679494 (759 KByte PDF)
MD5 Fingerprint: d39eac281fd7986f987839ee16657d48
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Erstellt am: 6.7.2011

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Instrumentation and Measurement Technology Conference, I2MTC 2011 : 10-12 may 2011, Binjiang, China
New York, NY: IEEE, 2011
ISBN: 978-1-4244-7934-4
ISBN: 1-4244-7933-9
ISBN: 978-1-4244-7933-7
Instrumentation and Measurement Technology Conference (I2MTC) < 2011, Binjiang>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Analyzing scenes under variable illumination has been an important and widely studied research area in the field of machine vision. In this article, we present an illumination device for capturing image series of small objects under variable illumination directions. Due to using a digital projector as programmable light source and a parabolic reflector to reflect the emitted illumination patterns, the device dispenses with the need of moving parts. Furthermore, we demonstrate the utility of illumination series for unsupervised surface defect detection by applying statistical anomaly detection to the measured reflectance data. To this end, we show how relevant illumination directions can be determined without using labeled information by a clustering-based approach.