Spatially resolved ingredient detection in spice mixes using 3D convolutional neural networks
Anastasiadis, Johannes
; Krippner, Wolfgang; Puente Léon, Fernando
; Krippner, Wolfgang; Puente Léon, FernandoAbstract (englisch):
Abstract A method using spectral information to detect substances in mixtures is given. The presented convolutional neural network is using three-dimensional convolutions to process hyperspectral images. Reflectance values can be fed directly into the network and are not preprocessed. Due to the architecture, the neural network performs a spatially invariant operation. Detection performance is demonstrated by a dataset containing spice mixtures.
| Zugehörige Institution(en) am KIT | Institut für Industrielle Informationstechnik (IIIT) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2019 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-0864-9 urn:nbn:de:swb:90-923194 KITopen-ID: 1000092319 |
| Erschienen in | OCM 2019 - Optical Characterization of Materials : Conference Proceedings. Ed.: J. Beyerer; F. Puente León, T. Längle |
| Verlag | KIT Scientific Publishing |
| Seiten | 35-44 |
| Relationen in KITopen |