Variable illumination and invariant features for detecting and classifying varnish defects

Variable illumination and invariant features for detecting and classifying varnish defects

This work presents a method to detect and classify varnish defects on wood surfaces. Since these defects are only partially visible under certain illumination directions, one image doesn't provide enough information for a recognition task. A classification requires inspecting the surface under...

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Bibliographic Details
Main Author: Pérez Grassi, Ana (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2010
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
Subjects:
Technology: general issues
detection
illumination
image series
invariant features
classification
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary:This work presents a method to detect and classify varnish defects on wood surfaces. Since these defects are only partially visible under certain illumination directions, one image doesn't provide enough information for a recognition task. A classification requires inspecting the surface under different illumination directions, which results in image series. The information is distributed along this series and can be extracted by merging the knowledge about the defect shape and light direction.
Physical Description:1 electronic resource (158 p. p.)
ISBN:KSP/1000019094
9783866445376
Access:Open Access

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