LEADER 01891nam  2200397z- 450 
001 9910346913303321
005 20210212
010   $a1000019094
035   $a(CKB)4920000000101389
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61858
035   $a(oapen)doab61858
035   $a(EXLCZ)994920000000101389
100   $a20202102d2010      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aVariable illumination and invariant features for detecting and classifying varnish defects
210   $cKIT Scientific Publishing$d2010
215   $a1 online resource (158 p. p.)
225 1 $aForschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
311 08$a3-86644-537-7 
330   $aThis 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.
606   $aTechnology: general issues$2bicssc
610   $aclassification
610   $adetection
610   $aillumination
610   $aimage series
610   $ainvariant features
615  7$aTechnology: general issues
700   $aPérez Grassi$b Ana$4auth$01323444
906   $aBOOK
912   $a9910346913303321
996   $aVariable illumination and invariant features for detecting and classifying varnish defects$93035563
997   $aUNINA