OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

doi:10.58895/ksp/1000128686

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OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

Jürgen Beyerer,

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Thomas Längle (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, 197 S.

Preis: 45.00 €

Inhaltsverzeichnis

Are low-cost, hand-held NIR sensors suitableto detect adulterations of halal meat?
Judith Mueller-Maatsch et al.
Exotic Fruit Ripening Based on OpticalCharacterisation
Anton Scheibelmasser et al.
A new approach for evaluation of meatfreshness
Nensi Kasvand et al.
Towards the universal assessment of dietaryintake using spectral imaging solutions
Yannick Weesepoel et al.
Detection of pyrrolizidine alkaloid containingherbs using hyperspectral imaging in theshort-wave infrared
Julius Krause et al.
Phenoliner 2.0: RGB and near-infrared (NIR)image acquisition for an efficient phenotypingin grapevine research
Xiaorong Zheng et al.
Developing a handheld NIR sensor for thedetection of ripening in grapevine
Lucie Gebauer et al.
Fine metal-rich waste stream characterizationbased on RGB data: Comparison betweenfeature-based and deep learning classificationmethods
Nils Kroell et al.
Improvement of Thermal Fringe Projection forFast and Accurate 3D Shape Measurement ofTransparent Objects
Martin Landmann et al.
Measurement of the coefficient of linearthermal expansion based on subjective laserspeckle patterns
Alexander Spaett & Bernhard G. Zagar
Vessel extraction from breast MRI
Marco Gierlinger et al.
Generation of artificial training data forspectral unmixing by modelling spectralvariability using Gaussian random variables
Johannes Anastasiadis & Michael Heizmann
Line Spectra Analysis: A Cumulative Approach
Achim Kehrein & Oliver Lischtschenko
Quality analysis for the production ofpelletised materials using Fourier Descriptors
Sebastian Michlmayr et al.
Fiber-Coupled MEMS-based NIRSpectrometers for Material Characterization inIndustrial Environments
Robert Zimmerleiter et al.
Improvement of Roughness Measurement inSub-micron Ranges Using Contrast-basedDepolarization Field Components
Franziska Pöller et al.
Multimodal OCT Imaging
Bettina Heise et al.
A High Quality Image Stitching Process forIndustrial Image Processing and QualityAssurance
Rolf Hoffmann

Fächer:

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. & Längle T. (eds.) 2021. OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000128686

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OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings

Jürgen Beyerer,

Close

Thomas Längle (eds.)

Close

Inhaltsverzeichnis

Are low-cost, hand-held NIR sensors suitableto detect adulterations of halal meat?

Exotic Fruit Ripening Based on OpticalCharacterisation

A new approach for evaluation of meatfreshness

Towards the universal assessment of dietaryintake using spectral imaging solutions

Detection of pyrrolizidine alkaloid containingherbs using hyperspectral imaging in theshort-wave infrared

Phenoliner 2.0: RGB and near-infrared (NIR)image acquisition for an efficient phenotypingin grapevine research

Developing a handheld NIR sensor for thedetection of ripening in grapevine

Fine metal-rich waste stream characterizationbased on RGB data: Comparison betweenfeature-based and deep learning classificationmethods

Improvement of Thermal Fringe Projection forFast and Accurate 3D Shape Measurement ofTransparent Objects

Measurement of the coefficient of linearthermal expansion based on subjective laserspeckle patterns

Vessel extraction from breast MRI

Generation of artificial training data forspectral unmixing by modelling spectralvariability using Gaussian random variables

Line Spectra Analysis: A Cumulative Approach

Quality analysis for the production ofpelletised materials using Fourier Descriptors

Fiber-Coupled MEMS-based NIRSpectrometers for Material Characterization inIndustrial Environments

Improvement of Roughness Measurement inSub-micron Ranges Using Contrast-basedDepolarization Field Components

Multimodal OCT Imaging