OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings

doi:10.5445/KSP/1000155014

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OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings

Jürgen Beyerer,

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Thomas Längle,

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Michael Heizmann (eds.)

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The state of the art in the optical characterization of materials is advancing rapidly. New insights have been gained into the theoretical foundations of this research and exciting developments have been made in practice, driven by new applications and innovative sensor technologies that are constantly evolving.The great success of past conferences proves the necessity of a platform for presentation, discussion and evaluation of the latest research results in this interdisciplinary field.

Umfang: VII ,178 S.

Preis: 44.00 €

Inhaltsverzeichnis

Monitoring the sorting performance in lightweight packaging waste sorting plants using data of sensor-based sorters
Sabine Schlögl et al.
Detecting Tar Contaminated Samples in Road-rubble using Hyperspectral Imaging and Texture Analysis
Paul Bäcker et al.
Increasing the reuse of wood in bulky waste using artificial intelligence and imaging in the VIS, IR, and terahertz ranges
Lukas Roming et al.
Semi-supervised methods for CNN based classification of multispectral imagery
Manuel Bihler et al.
Regression-based Age Prediction of Plastic Waste using Hyperspectral Imaging
Felix Kronenwett et al.
Method Development for Spatially Resolved Detection of Adulterated Minced Meat
Ervienatasia Djaw et al.
Multispectral analysis for the determination of lycopene concentration in tomatoes
Marcel Mlynarik et al.
An overview of implementing Multispectral Imaging coupled with machine learning for the assessment of microbiological quality and authenticity in foods
Anastasia Lytou et al.
Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness
Leon Amadeus Varga et al.
Thermographic Techniques to Explore Small-Scale Processes at Water Surfaces
Bernd Jähne et al.
Sensitivity enhanced glucose sensing by return-path Mueller matrix ellipsometry
Chia-Wei Chen et al.
Fluorescence Imaging of Concentration Fields of Dissolved Gases at Water Interfaces
Dennis Hofmann & Bernd Jähne
Material Characterization using a Compact Computed Tomography Imaging Spectrometer with Super-resolution Capability
Simon Amann et al.
Sulfur Dioxide Fluorescence Imaging
Bernd Jähne et al.
Imaging radar systems for non-destructive material testing An overview of the state of the art, the limitations and the opportunities of radar technology.
Dirk Nüssler et al.
Quick-and-Dirty Computation of Voigt Profiles, Classification of Their Shapes, and Effective Determination of the Shape Parameter
Achim Kehrein & Oliver Lischtschenko

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Elektrotechnik

Schlagwörter:

Charakterisierung von Materialien Hyperspektral multispektrale Bildanalyse Röntgenmethoden Recycling characterisation of materials hyperspectral multispectral image analysis X-ray methods recycling

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Beyerer, J et al. (eds.) 2023. OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000155014

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OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings

Jürgen Beyerer,

Close

Thomas Längle,

Close

Michael Heizmann (eds.)

Close

Inhaltsverzeichnis

Monitoring the sorting performance in lightweight packaging waste sorting plants using data of sensor-based sorters

Detecting Tar Contaminated Samples in Road-rubble using Hyperspectral Imaging and Texture Analysis

Increasing the reuse of wood in bulky waste using artificial intelligence and imaging in the VIS, IR, and terahertz ranges

Semi-supervised methods for CNN based classification of multispectral imagery

Regression-based Age Prediction of Plastic Waste using Hyperspectral Imaging

Method Development for Spatially Resolved Detection of Adulterated Minced Meat

Multispectral analysis for the determination of lycopene concentration in tomatoes

An overview of implementing Multispectral Imaging coupled with machine learning for the assessment of microbiological quality and authenticity in foods

Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness

Thermographic Techniques to Explore Small-Scale Processes at Water Surfaces

Sensitivity enhanced glucose sensing by return-path Mueller matrix ellipsometry

Fluorescence Imaging of Concentration Fields of Dissolved Gases at Water Interfaces

Material Characterization using a Compact Computed Tomography Imaging Spectrometer with Super-resolution Capability

Sulfur Dioxide Fluorescence Imaging

Imaging radar systems for non-destructive material testing An overview of the state of the art, the limitations and the opportunities of radar technology.