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Improved grating and bar cell models in cortical area V1 and texture coding

dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-04T12:04:35Z
dc.date.available2015-11-04T12:04:35Z
dc.date.issued2007
dc.description.abstractThis paper presents improved models of cortical neurons in VI that act like grating and bar detectors. Both models use the same frontend, which consists of a contrast normalisation in combination with isotropic DOG filtering, followed by anisotropic Gabor filtering together with a response sharpening. Different grouping processes of ON and OFF responses lead to a very selective detection of bar width and grating frequency, with a good localisation. Furthermore, outputs of grating cells can be grouped over combinations of orientations for coding nonlinear textures. It is shown that these models, apart from being used in the modelling of the visual cortex, can be employed in pattern-recognition applications. (C) 2006 Elsevier B.V. All rights reserved.
dc.identifier.doihttps://dx.doi.org/10.1016/j.imavis.2006.06.005
dc.identifier.issn0262-8856
dc.identifier.otherAUT: DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/6968
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier Science
dc.relation.isbasedonP-004-9QR
dc.titleImproved grating and bar cell models in cortical area V1 and texture coding
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage882
oaire.citation.issue6
oaire.citation.startPage873
oaire.citation.titleImage and Vision Computing
oaire.citation.volume25
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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