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Simultaneous detection of lines and edges using compound Gabor filters

dc.contributor.authorVan Deemter, J. H.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-04T12:04:35Z
dc.date.available2015-11-04T12:04:35Z
dc.date.issued2000
dc.description.abstractLines and edges play an important role in pattern recognition because they mark object surfaces and boundaries. In spite of many attempts to construct optimal detectors, e.g. an edge detector, it appears that all known algorithms have problems at locations where lines and edges are very close and/or intersect. Furthermore, there are still very few schemes which can detect and classify lines and edges (events) simultaneously. In view of the fact that the human visual system does not seem to suffer from any problems, our aim is to develop an event detection scheme that makes use of biologically-motivated operators and, therefore, to overcome the problems known from the literature. In this scheme we apply 2D complex Gabor filters and exploit the local phase information. In order to cope with events having a different curvature, we develop an adaptive scheme that is based on compound Gabor filter kernels with different orientation bandwidths.
dc.identifier.doihttps://dx.doi.org/10.1142/S0218001400000465
dc.identifier.issn0218-0014
dc.identifier.otherAUT: DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/6965
dc.language.isoeng
dc.peerreviewedyes
dc.publisherWorld Scientific Publishing
dc.relation.isbasedonP-000-Z40
dc.titleSimultaneous detection of lines and edges using compound Gabor filters
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage777
oaire.citation.issue6
oaire.citation.startPage757
oaire.citation.titleInternational Journal of Pattern Recognition and Artificial Intelligence
oaire.citation.volume14
person.familyNamedu Buf
person.givenNameHans
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id6604075916
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscoverycfad5636-2c77-4db0-a3a0-d7eb97ce6bee

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