Image analysis of natural products
Daniel Garten, Katharina Anding, Steffen Lerm, Gerhard Linss, Peter Brückner
Kapitel/Beitrag aus dem Buch: Längle, T et al. 2013. OCM 2013 – Optical Characterization of Materials – conference proceedings.
Part of
Kapitel/Beitrag aus dem Buch: Längle, T et al. 2013. OCM 2013 – Optical Characterization of Materials – conference proceedings.
Natural products are exposed to various environmental
influences resulting in a high phenotypical variability. This
makes it very difficult to develop automatic recognition algorithms
in contrast to the recognition of manufactured products.
Recent developments in the field of computer science, especially
the development of powerful classification algorithms like the
support vector machine make it possible to face also such complicated
tasks. In this paper we present an approach to classify
the impurities of a wheat sample to analyse the quality.
Garten, D et al. 2013. Image analysis of natural products. In: Längle, T et al (eds.), OCM 2013 – Optical Characterization of Materials – conference proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000032143-15
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Veröffentlicht am 6. März 2013