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Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique
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 w...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231199/ https://www.ncbi.nlm.nih.gov/pubmed/22163659 http://dx.doi.org/10.3390/s100908363 |
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author | Saracoglu, Ömer Galip Altural, Hayriye |
author_facet | Saracoglu, Ömer Galip Altural, Hayriye |
author_sort | Saracoglu, Ömer Galip |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3231199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32311992011-12-07 Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique Saracoglu, Ömer Galip Altural, Hayriye Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2010-09-03 /pmc/articles/PMC3231199/ /pubmed/22163659 http://dx.doi.org/10.3390/s100908363 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Saracoglu, Ömer Galip Altural, Hayriye Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title | Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title_full | Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title_fullStr | Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title_full_unstemmed | Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title_short | Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique |
title_sort | color regeneration from reflective color sensor using an artificial intelligent technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231199/ https://www.ncbi.nlm.nih.gov/pubmed/22163659 http://dx.doi.org/10.3390/s100908363 |
work_keys_str_mv | AT saracogluomergalip colorregenerationfromreflectivecolorsensorusinganartificialintelligenttechnique AT alturalhayriye colorregenerationfromreflectivecolorsensorusinganartificialintelligenttechnique |