Abstract:
: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.
journal_name
Vision Resjournal_title
Vision researchauthors
Rudd ME,Arrington KFdoi
10.1016/s0042-6989(01)00216-4subject
Has Abstractpub_date
2001-12-01 00:00:00pages
3649-62issue
27eissn
0042-6989issn
1878-5646pii
S0042-6989(01)00216-4journal_volume
41pub_type
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