Perceptual organization of two-dimensional patterns

The perceptual organization of image patterns is considered from 2 standpoi nts. First, a theoretical framework is presented from which computational m odels of perceptual organization can be constructed and tested. Second, a s pecific computational model for perceptual organization of line images is d escribed. In this model, input images are first processed by a dense array of neurons that have properties consistent with recent analyses of single-n euron responses in primary visual cortex. Then, complex image structure is discovered by interleaved pattern-matching and grouping processes constrain ed by a generalized uniqueness principle. A series of 3-pattern grouping ex periments was performed to test a restricted version of the model and to es timate critical parameters. Using the estimated parameters, an extended ver sion of the model was tested by generating predictions for a series of "tex tbook" perceptual organization demonstrations.