Adaptive modeling color measurement errors

Guoping Qiu; Hsiao-Pei Lee; Ming Ronnier Luo

doi:10.1117/12.364323

16 September 1999 Adaptive modeling color measurement errors

Guoping Qiu, Hsiao-Pei Lee, Ming Ronnier Luo

Proceedings Volume 3826, Polarization and Color Techniques in Industrial Inspection; (1999) https://doi.org/10.1117/12.364323
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany

Abstract

A hybrid adaptive system incorporating linear regression and neural network has been developed for the correction of color measuring errors. The linear regression model is used to correct systematic errors while the neural network is used to correct the residue errors that the linear regression method is unable to remove. We use standard color materials from the National Physical Laboratory (NPL) as training samples and test the method using a variety of colors outside the training set. Experimental results are presented which show promising future of neural networks in color measuring industries.

Citation Download Citation

Guoping Qiu, Hsiao-Pei Lee, and Ming Ronnier Luo "Adaptive modeling color measurement errors", Proc. SPIE 3826, Polarization and Color Techniques in Industrial Inspection, (16 September 1999); https://doi.org/10.1117/12.364323

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