Title :
CNN-based models for color vision and visual illusions
Author :
Zarándy, Ákos ; Orzó, László ; Grawes, Edward ; Werblin, Frank
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fDate :
2/1/1999 12:00:00 AM
Abstract :
Cellular neural/nonlinear network (CNN) models are introduced to analyze and explain human early vision color perception and some of the visual illusions. A CNN model of Horn´s algorithm is shown and a new lightness-determination method is introduced. CNN models for the brightness, the Mach-band, the Zollner, the cafe-wall, and the Poggendorff illusions are also introduced
Keywords :
cellular neural nets; colour vision; visual perception; CNN model; Horn algorithm; cellular neural network; color vision; lightness determination; visual illusion; Biological system modeling; Brain modeling; Cellular networks; Cellular neural networks; Humans; Information processing; Information technology; Laboratories; Neuromorphics; Visual system;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
