Serviços Personalizados
Journal
Artigo
Indicadores
- Citado por SciELO
- Acessos
Links relacionados
- Similares em SciELO
Compartilhar
Computación y Sistemas
versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546
Resumo
JUAREZ TRUJILLO, Iván A.; ZAVALA DE PAZ, Jonny P.; PALILLERO SANDOVAL, Omar e CASTILLO VELASQUEZ, Francisco A.. Multispectral Camera Calibration Using Convolutional Neural Networks. Comp. y Sist. [online]. 2023, vol.27, n.3, pp.801-810. Epub 17-Nov-2023. ISSN 2007-9737. https://doi.org/10.13053/cys-27-3-4605.
A methodology for multispectral camera calibration using convolutional neural networks is presented. RGB images were captured from the multispectral camera for each of the standards, the samples are taken under the same lighting conditions and with the same capture angle. The images are fragmented into small matrix sizes added to a specific class, and saved with a special label to distinguish it from the entire class database, the same process takes the remaining 7 Lucideon Std color tiles. One of the tiles will correspond to a particular class with an equal dimension for all classes. Finally, based on the presented methodology, it is possible to calibrate the camera with respect to the references.
Palavras-chave : Calibration; multispectral camera; convolutional neural networks; color analysis.