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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Superior document:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
:
Pérez Grassi, Ana
Year of Publication:2010
Language:English
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
Physical Description:1 electronic resource (158 p. p.)
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spelling Pérez Grassi, Ana auth
Variable illumination and invariant features for detecting and classifying varnish defects
KIT Scientific Publishing 2010
1 electronic resource (158 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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.
English
detection
illumination
image series
invariant features
classification
3-86644-537-7
language English
format eBook
author Pérez Grassi, Ana
spellingShingle Pérez Grassi, Ana
Variable illumination and invariant features for detecting and classifying varnish defects
Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
author_facet Pérez Grassi, Ana
author_variant g a p ga gap
author_sort Pérez Grassi, Ana
title Variable illumination and invariant features for detecting and classifying varnish defects
title_full Variable illumination and invariant features for detecting and classifying varnish defects
title_fullStr Variable illumination and invariant features for detecting and classifying varnish defects
title_full_unstemmed Variable illumination and invariant features for detecting and classifying varnish defects
title_auth Variable illumination and invariant features for detecting and classifying varnish defects
title_new Variable illumination and invariant features for detecting and classifying varnish defects
title_sort variable illumination and invariant features for detecting and classifying varnish defects
series Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
series2 Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
publisher KIT Scientific Publishing
publishDate 2010
physical 1 electronic resource (158 p. p.)
isbn 1000019094
3-86644-537-7
illustrated Not Illustrated
work_keys_str_mv AT perezgrassiana variableilluminationandinvariantfeaturesfordetectingandclassifyingvarnishdefects
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hierarchy_parent_title Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
is_hierarchy_title Variable illumination and invariant features for detecting and classifying varnish defects
container_title Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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