title: Color regeneration from reflective color sensor using an artificial intelligent technique.
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.
authors.affiliation: Department of Electrical and Electronic Engineering, Erciyes University, 38039 Kayseri, Turkey. saracog@erciyes.edu.tr
authors.forename: Ömer Galip
authors.initials: ÖG
authors.lastname: Saracoglu
authors.forename: Hayriye
authors.initials: H
authors.lastname: Altural
mesh_terms: D003116:Color; D003124:Colorimetry / Q000379:methods*; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted