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dc.contributor.authorZhou, Jun
dc.contributor.authorBischof, Walter F
dc.contributor.authorSanchez-Azofeifa, Arturo
dc.contributor.editorTang, YY
dc.contributor.editorWang, SP
dc.contributor.editorLorette, G
dc.contributor.editorYeung, DS
dc.contributor.editorYan, H
dc.date.accessioned2013-05-15
dc.date.accessioned2013-06-20T03:49:40Z
dc.date.accessioned2017-03-01T23:03:08Z
dc.date.available2017-03-01T23:03:08Z
dc.date.issued2006
dc.date.modified2013-06-20T03:49:40Z
dc.identifier.isbn9780769525211
dc.identifier.issn1051-4651
dc.identifier.doi10.1109/ICPR.2006.520
dc.identifier.urihttp://hdl.handle.net/10072/51675
dc.description.abstractDetection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent325999 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename18th International Conference on Pattern Recognition (ICPR 2006)
dc.relation.ispartofconferencetitle18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS
dc.relation.ispartofdatefrom2006-08-20
dc.relation.ispartofdateto2006-08-24
dc.relation.ispartoflocationHong Kong, PEOPLES R CHINA
dc.relation.ispartofpagefrom215
dc.relation.ispartofpageto+
dc.relation.ispartofvolume2
dc.rights.retentionY
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchcode460306
dc.titleExtracting lines in noisy image using directional information
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codee1x
gro.facultyFaculty of Science, Environment, Engineering and Technology
gro.rights.copyright© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorZhou, Jun


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