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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| Formato: | Online |
| Idioma: | inglês |
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KIT Scientific Publishing
2021
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| Acesso em linha: | 34527 |
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| _version_ | 1869524831897124864 |
|---|---|
| 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 |