Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/193025
Title: | Machine-readable pattern for colorimetric sensor interrogation |
Author: | Benito Altamirano, Ismael Pfeiffer, Peter Cusola, Oriol Prades García, Juan Daniel |
Keywords: | Colorimetria Visió per ordinador Colorimetry Computer vision |
Issue Date: | 29-Nov-2018 |
Publisher: | MDPI |
Abstract: | We present a systematic methodology to generate machine-readable patterns embodying all the elements needed to carry out colorimetric measurements with conventional color cameras in an automated, robust and accurate manner. Our approach relies on the well-stablished machine-readable features of the QR Codes, to detect the pattern, identify the color reference elements and the colorimetric spots, to calibrate the color of the image and to conclude a quantitative measurement. We illustrate our approach with a NH3 colorimetric indicator operating at distinct color temperature ambient lights, demonstrating that with our design, consistent measurements can be achieved, with independence on the illumination conditions. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/proceedings2130906 |
It is part of: | MDPI Proceedings, 2018, vol. 2, num. 13, p. 906 |
URI: | http://hdl.handle.net/2445/193025 |
Related resource: | https://doi.org/10.3390/proceedings2130906 |
ISSN: | 2504-3900 |
Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) |
Files in This Item:
File | Description | Size | Format | |
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728949.pdf | 1.02 MB | Adobe PDF | View/Open |
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