Cooperative system based on soft computing methods to realize higher precision of computer color recipe prediction

Eiji Mizutani; Hideyuki Takagi; David M. Auslander

doi:10.1117/12.205175

6 April 1995 Cooperative system based on soft computing methods to realize higher precision of computer color recipe prediction

Eiji Mizutani, Hideyuki Takagi, David M. Auslander

Author Affiliations +

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205175
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This paper proposes a combinational model of neural networks (NNs) and a genetic algorithm (GA) to obtain highly precise outputs. Performance of the model is evaluated by application to a computerized color recipe prediction task, which requires relating surface spectral reflectance of a target color to several pigment concentrations. For GA search, first, predictive concentrations of color pigments are initialized by a random initializer, a multi-elite generator based on rules, and an NN which predicts pigment concentrations from the surface spectral reflectance. Then the GA starts searching for more precise pigment concentration vectors depending on a fitness function which is constructed based on three functions: (1) an NN to predict which pigments to use, (2) a rule base to deal with knowledge of color, and (3) an NN to calculate color difference to take into account human visual sensitivity. This hybrid model predicts color pigment concentrations with higher precision by fine-tuning the results of NN approaches. It may possibly show great potential in another precision problem.

Citation Download Citation

Eiji Mizutani, Hideyuki Takagi, and David M. Auslander "Cooperative system based on soft computing methods to realize higher precision of computer color recipe prediction", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205175

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