Kapitel/Beitrag aus dem Buch: Längle, T et al. 2019. OCM 2019 – 4th International Conference on Optical Characterization of Materials, March 13th – 14th, 2019, Karlsruhe, Germany : Conference Proceedings.
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.
Anastasiadis, J et al. 2019. Spatially resolved ingredient detection in spice mixes using 3D convolutional neural networks. In: Längle, T et al (eds.), OCM 2019 – 4th International Conference on Optical Characterization of Materials, March 13th – 14th, 2019, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000087509-4
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Veröffentlicht am 18. März 2019