Darkness filling-in: a neural model of darkness induction.
Vision Res
; 41(27): 3649-62, 2001 Dec.
Article
en En
| MEDLINE
| ID: mdl-11712980
A model of darkness induction based on a neural filling-in mechanism is proposed. The model borrows principles from both Land's Retinex theory and BCS/FCS filling-in model of Grossberg and colleagues. The main novel assumption of the induction model is that darkness filling-in signals, which originate at luminance borders, are partially blocked when they try to cross other borders. The percentage of the filling-in signal that is blocked is proportional to the log luminance ratio across the border that does the blocking. The model is used to give a quantitative account of the data from a brightness matching experiment in which a decremental test disk was surrounded by two concentric rings. The luminances of the rings were independently varied to modulate the brightness of the test. Observers adjusted the luminance of a comparison disk surrounded by a single ring of higher luminance to match the test disk in brightness.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Ilusiones Ópticas
/
Sensibilidad de Contraste
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Modelos Neurológicos
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Modelos Psicológicos
Límite:
Adult
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Vision Res
Año:
2001
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido