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Conference Paper: Edge detection of three-dimensional objects by manipulating pupil functions in an optical scanning holography system

TitleEdge detection of three-dimensional objects by manipulating pupil functions in an optical scanning holography system
Authors
KeywordsEdge Detection
Image Reconstruction
Pre-Processing
Issue Date2010
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
Proceedings - International Conference On Image Processing, Icip, 2010, p. 3661-3664 How to Cite?
AbstractThe paper presents a technique of manipulating the pupil function in the optical scanning holography (OSH) system to detect the edge of a three-dimensional object. OSH is a fast biomedical imaging system that scans a three-dimensional (3D) object and encodes its intensity information into a two-dimensional hologram. The reconstruction of sectional images from a hologram has been well discussed as post-processing methods. However, manipulating pupil functions as a pre-processing technique has been less investigated. The latter can detect any specific part of an object by manipulating the pupil function. Here, we focus on the edge detection of a 3D object, which is implemented by configuring two pupil functions as a Dirac delta function and the Laplacian of the Gaussian, respectively. The simulated experiment demonstrates that the technique is a real-time pre-processing method to obtain the edge of the 3D object. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158673
ISSN
2020 SCImago Journal Rankings: 0.315
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xen_US
dc.contributor.authorLam, EYen_US
dc.date.accessioned2012-08-08T09:00:47Z-
dc.date.available2012-08-08T09:00:47Z-
dc.date.issued2010en_US
dc.identifier.citationProceedings - International Conference On Image Processing, Icip, 2010, p. 3661-3664en_US
dc.identifier.issn1522-4880en_US
dc.identifier.urihttp://hdl.handle.net/10722/158673-
dc.description.abstractThe paper presents a technique of manipulating the pupil function in the optical scanning holography (OSH) system to detect the edge of a three-dimensional object. OSH is a fast biomedical imaging system that scans a three-dimensional (3D) object and encodes its intensity information into a two-dimensional hologram. The reconstruction of sectional images from a hologram has been well discussed as post-processing methods. However, manipulating pupil functions as a pre-processing technique has been less investigated. The latter can detect any specific part of an object by manipulating the pupil function. Here, we focus on the edge detection of a 3D object, which is implemented by configuring two pupil functions as a Dirac delta function and the Laplacian of the Gaussian, respectively. The simulated experiment demonstrates that the technique is a real-time pre-processing method to obtain the edge of the 3D object. © 2010 IEEE.en_US
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_US
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_US
dc.subjectEdge Detectionen_US
dc.subjectImage Reconstructionen_US
dc.subjectPre-Processingen_US
dc.titleEdge detection of three-dimensional objects by manipulating pupil functions in an optical scanning holography systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailLam, EY:elam@eee.hku.hken_US
dc.identifier.authorityLam, EY=rp00131en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICIP.2010.5652483en_US
dc.identifier.scopuseid_2-s2.0-78651087688en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651087688&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage3661en_US
dc.identifier.epage3664en_US
dc.identifier.isiWOS:000287728003180-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridZhang, X=35323563100en_US
dc.identifier.scopusauthoridLam, EY=7102890004en_US
dc.identifier.issnl1522-4880-

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