Title :
Neural network models for illusory contour perception
Author :
Skrzypek, Josef ; Ringer, Brian
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Abstract :
A physiologically motivated model of illusory contour perception is examined by simulating a neural network architecture that was tested with gray-level images. The results indicate that a model that combines a bottom-up feature aggregation strategy with recurrent processing is best suited for describing this type of perceptual completion
Keywords :
image segmentation; neural nets; bottom-up feature aggregation; gray-level images; illusory contour perception; neural network architecture; perceptual completion; physiologically motivated model; recurrent processing; Color; Computational modeling; Computer science; Filters; Image edge detection; Image segmentation; Laboratories; Neural networks; Neurons; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
Print_ISBN :
0-8186-2855-3
DOI :
10.1109/CVPR.1992.223202
