Model for a color perception system with learning capabilities

Michael Frydrych; Jussi P. S. Parkkinen; Sinikka Parkkinen; Pertti Silfsten; Timo Jaeaeskelaeinen

doi:10.1117/12.304979

1 April 1998 Model for a color perception system with learning capabilities

Michael Frydrych, Jussi P. S. Parkkinen, Sinikka Parkkinen, Pertti Silfsten, Timo Jaeaeskelaeinen

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304979
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

We present a model for color vision system with learning capabilities. The system adapts to statistical properties of its input. The adaptation is done by utilizing unsupervised learning techniques, as self-organizing feature maps and vectorial boundary adaptation maps. A color difference reflecting statistical properties of input to the system is defined. The model was tested by using color data with different statistics and two different sets of rhodopsin- based color sensors.

Citation Download Citation

Michael Frydrych, Jussi P. S. Parkkinen, Sinikka Parkkinen, Pertti Silfsten, and Timo Jaeaeskelaeinen "Model for a color perception system with learning capabilities", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304979

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