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Abstract processes in texture discrimination

dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-04T12:04:41Z
dc.date.available2015-11-04T12:04:41Z
dc.date.issued1992
dc.description.abstractIn this study some experiments on texture segmentation are reported using the local Gabor power spectrum. The techniques applied are: (1) supervised pixel classification; (2) boundary detection by spectral dissimilarity estimation; (3) region-based segmentation based on Gaussian spectral estimation; and (4) the same as (3) but based on central moments of the local spectrum. It is shown that very-acceptable-to-excellent results can be obtained. It is argued, however, that the shortcomings of region-based and boundary-based approaches require that both processes should act in parallel, not only in digital image processing but also in the modelling of visual perception.
dc.identifier.issn0169-1015
dc.identifier.otherAUT: DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/7004
dc.language.isoeng
dc.peerreviewedyes
dc.publisherBrill Academic Publishers
dc.relation.isbasedonP-008-XVR
dc.titleAbstract processes in texture discrimination
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage242
oaire.citation.issue3
oaire.citation.startPage221
oaire.citation.titleSpatial Vision
oaire.citation.volume6
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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