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 diffe...

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Autor principal: Pérez Grassi, Ana
Formato: Online
Idioma:inglês
Publicado em: KIT Scientific Publishing 2021
Assuntos:
Acesso em linha:34527
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author Pérez Grassi, Ana
author_browse Pérez Grassi, Ana
author_facet Pérez Grassi, Ana
author_sort Pérez Grassi, Ana
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-61858
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-618582024-04-09T23:15:25Z Variable illumination and invariant features for detecting and classifying varnish defects Pérez Grassi, Ana T1-995 detection illumination image series invariant features classification thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2021-02-12T07:23:35Z 2021-02-12T07:23:35Z 2019-07-30 20:01:58 2010 book 34527 21906629 9783866445376 https://directory.doabooks.org/handle/20.500.12854/61858 eng Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866445376 KIT Scientific Publishing 10.5445/KSP/1000019094 10.5445/KSP/1000019094 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866445376 158 p. open access
spellingShingle T1-995
detection
illumination
image series
invariant features
classification
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Pérez Grassi, Ana
Variable illumination and invariant features for detecting and classifying varnish defects
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_short Variable illumination and invariant features for detecting and classifying varnish defects
title_sort variable illumination and invariant features for detecting and classifying varnish defects
topic T1-995
detection
illumination
image series
invariant features
classification
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
detection
illumination
image series
invariant features
classification
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 34527
work_keys_str_mv AT perezgrassiana variableilluminationandinvariantfeaturesfordetectingandclassifyingvarnishdefects