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Article

Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique

by
Ömer Galip Saracoglu
* and
Hayriye Altural
Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey
*
Author to whom correspondence should be addressed.
Sensors 2010, 10(9), 8363-8374; https://doi.org/10.3390/s100908363
Submission received: 20 July 2010 / Revised: 10 August 2010 / Accepted: 20 August 2010 / Published: 3 September 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
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Abstract

A low-cost optical sensor based on reflective color sensing is presented. Artificial neural network models are used to improve the color regeneration from the sensor signals. Analog voltages of the sensor are successfully converted to RGB colors. The artificial intelligent models presented in this work enable color regeneration from analog outputs of the color sensor. Besides, inverse modeling supported by an intelligent technique enables the sensor probe for use of a colorimetric sensor that relates color changes to analog voltages.
Keywords: color sensing; intelligent sensor; artificial neural network color sensing; intelligent sensor; artificial neural network
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MDPI and ACS Style

Saracoglu, Ö.G.; Altural, H. Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique. Sensors 2010, 10, 8363-8374. https://doi.org/10.3390/s100908363

AMA Style

Saracoglu ÖG, Altural H. Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique. Sensors. 2010; 10(9):8363-8374. https://doi.org/10.3390/s100908363

Chicago/Turabian Style

Saracoglu, Ömer Galip, and Hayriye Altural. 2010. "Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique" Sensors 10, no. 9: 8363-8374. https://doi.org/10.3390/s100908363

APA Style

Saracoglu, Ö. G., & Altural, H. (2010). Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique. Sensors, 10(9), 8363-8374. https://doi.org/10.3390/s100908363

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