title: Optimized model of oriented-line-target detection using vertical and horizontal filters.
abstract: A line-element target differing sufficiently in orientation from a background of line elements can be visually detected easily and quickly; orientation thresholds for such detection are lowest when the background elements are all vertical or all horizontal. A simple quantitative model of this performance was constructed from three processing stages: (1) linear filtering by two classes of anisotropic filters, (2) nonlinear point transformation, and (3) estimation of a signal-to-noise ratio based on responses to images with and without a target. A Monte Carlo optimization procedure (simulated annealing) was used to determine the model parameter values required for providing an accurate description of psychophysical data on orientation increment thresholds.
authors.affiliation: Department of Communication and Neuroscience, Keele University, Staffordshire, UK.
authors.forename: S
authors.initials: S
authors.lastname: Westland
authors.forename: D H
authors.initials: DH
authors.lastname: Foster
mesh_terms: D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D009949:Orientation; D011601:Psychophysics; D012684:Sensory Thresholds; D014796:Visual Perception / Q000502:physiology*