title: [The model of adaptive primary image processing].
abstract: A computer model of adaptive segmentation of the 2D visual objects was developed. Primary image descriptions are realised via spatial frequency filters and feature detectors performing as self-organised mechanisms. Simulation of the control processes related to attention, lateral, frequency-selective and cross-orientation inhibition, determines the adaptive image processing.
authors.affiliation: I.P. Pavlov Institute of Physiology of the Russian Acad. Sci., St. Petersburg, Russia.
authors.forename: K N
authors.initials: KN
authors.lastname: Dudkin
authors.forename: S V
authors.initials: SV
authors.lastname: Mironov
authors.forename: A K
authors.initials: AK
authors.lastname: Dudkin
authors.forename: V N
authors.initials: VN
authors.lastname: Chikhman
mesh_terms: D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D014796:Visual Perception / Q000502:physiology*