DocumentCode :
432457
Title :
Features extraction on complex images
Author :
Bourgeat, Pierrick ; Meriaudeau, Fabrice ; Gorria, Patrick ; Tobin, Kenneth W. ; Truchetet, Frédéric
Author_Institution :
Le2i Lab., Univ. of Burgundy, France
Volume :
1
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
219
Abstract :
The accessibility of inexpensive and powerful computers has allowed true digital holography to be used for industrial inspection using microscopy. This technique allows the capture of a complex image (i.e., one containing magnitude and phase), and the reconstruction of the phase and magnitude information. Digital holograms give a new dimension to texture analysis, since the topology information can be used as an additional way to extract features. This new technique can be used to extend previous work on the image segmentation of patterned wafers for defect detection. The paper presents a comparison between the features obtained using Gabor filtering on complex images under illumination and focus variations.
Keywords :
automatic optical inspection; feature extraction; holography; image reconstruction; image segmentation; image texture; optical microscopy; topology; Gabor filtering; complex images; defect detection; digital holography; feature extraction; image reconstruction; industrial inspection; microscopy; patterned wafers; texture analysis; topology information; Computer industry; Data mining; Feature extraction; Holography; Image reconstruction; Image texture analysis; Information analysis; Inspection; Microscopy; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1418729
Filename :
1418729
Link To Document :
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