Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/6968
Título: Improved grating and bar cell models in cortical area V1 and texture coding
Autor: du Buf, J. M. H.
Data: 2007
Editora: Elsevier Science
Resumo: This 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.
Peer review: yes
URI: http://hdl.handle.net/10400.1/6968
DOI: https://dx.doi.org/10.1016/j.imavis.2006.06.005
ISSN: 0262-8856
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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