Title :
CNN model for identifying colors under different illumination conditions via Land´s experiments
Author :
Zarándy, Ákos ; Grawe, Edward ; Roska, Tamás ; Werblin, Frank ; Chua, Leon O.
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
We present a CNN model for separating colors under different illumination conditions. The color model is based on Land´s assumption: the individual monochromatic channels are processed separately. However, we use a different channel processing model. The model was evaluated on a Mondrian image
Keywords :
cellular neural nets; image colour analysis; CNN model; Mondrian image; colors identification; illumination conditions; monochromatic channels; Biological system modeling; Cellular neural networks; Color; Displays; Humans; Image processing; Laboratories; Light sources; Lighting; Visual system;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566514
