Spectral and geometric aspects of mineral identification by means of hyperspectral fluorescence imaging
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Sebastian Bauer
Sebastian Bauer has studied electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT). He is a Research Associate with the Institute of Industrial Information Technology (IIIT) at the KIT. He is working on hyperspectral image acquisition and processing tasks as well as on classification problems.
Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Karlsruhe
and
Fernando Puente León
Fernando Puente León is a Professor with the Department of Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany, where he heads the Institute of Industrial Information Technology (IIIT). From 2001 to 2002, he was withDS2, Valencia, Spain. From 2002 to 2003, he was a Postdoctoral Research Associate with the Institut für Mess- und Regelungstechnik, University of Karlsruhe. From 2003 to 2008, he was a Professor with the Department of Electrical Engineering and Information Technology, Technische Universität München, Germany. His research interests include image processing, automated visual inspection, information fusion, measurement technology, pattern recognition, and communications.
Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Karlsruhe
Abstract
The light emission of mineral samples in the visible wavelength range under ultraviolet (UV) illumination is examined by means of hyperspectral imaging. The general physical phenomenon causing this effect is called luminescence. The short-lived kind of luminescence is called fluorescence. Hyperspectral images are images consisting of up to several hundred spectral channels instead of just the three colors in case of common color images. Recently, we presented the first object classification by means of hyperspectral fluorescence analysis of minerals. In this article, previous analyses conducted by us are extended by investigating an increased number of spectral channels and samples of more species. We will present spectral and spatial characteristics of the mineral fluorescence and describe how the identification can possibly be improved.
Zusammenfassung
Die sichtbare Lichtemission von Mineralproben unter Ultraviolett-Beleuchtung wird mittels hyperspektraler Bildgebung untersucht. Das dabei zu beobachtende Phänomen nennt sich Lumineszenz, wobei die kurzlebige Version von Lumineszenz Fluoreszenz heißt. Hyperspektrale Bilder sind Bilder, die aus bis zu mehreren hundert Spektralkanälen bestehen statt wie Farbbilder aus lediglich drei Kanälen. Wir haben vor einiger Zeit die erste Objektklassifikation basierend auf der hyperspektralen Analyse von Mineralfluoreszenz vorgestellt. In diesem Artikel erweitern wir unsere bisherigen Analysen um eine größere Anzahl von Spektralkanälen sowie um mehr Mineralsorten. Außerdem stellen wir spektrale und räumliche Charakteristika der Mineralfluoreszenz vor und beschreiben, wie mit dieser die Erkennung der Minerale verbessert werden kann.
About the authors
Sebastian Bauer has studied electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT). He is a Research Associate with the Institute of Industrial Information Technology (IIIT) at the KIT. He is working on hyperspectral image acquisition and processing tasks as well as on classification problems.
Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Karlsruhe
Fernando Puente León is a Professor with the Department of Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany, where he heads the Institute of Industrial Information Technology (IIIT). From 2001 to 2002, he was withDS2, Valencia, Spain. From 2002 to 2003, he was a Postdoctoral Research Associate with the Institut für Mess- und Regelungstechnik, University of Karlsruhe. From 2003 to 2008, he was a Professor with the Department of Electrical Engineering and Information Technology, Technische Universität München, Germany. His research interests include image processing, automated visual inspection, information fusion, measurement technology, pattern recognition, and communications.
Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Karlsruhe
©2015 Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Optical characterization of materials
- Beiträge
- Spectral and geometric aspects of mineral identification by means of hyperspectral fluorescence imaging
- Single-shot LIBS spectral quality for waste particles in open air
- Hyperspectral imaging applied to end-of-life (EOL) concrete recycling
- Protecting the food supply chain: Utilizing SERS and portable Raman spectroscopy
- Non-destructive determination of grape berry sugar concentration using visible/near infrared imaging and possible impact on wine quality
- Visible hyperspectral imaging for lamb quality prediction
- Near infrared spectroscopy as a tool for in-line control of process and material properties of PLA biopolymer
- Large scale classification of spectral signatures
Articles in the same Issue
- Frontmatter
- Editorial
- Optical characterization of materials
- Beiträge
- Spectral and geometric aspects of mineral identification by means of hyperspectral fluorescence imaging
- Single-shot LIBS spectral quality for waste particles in open air
- Hyperspectral imaging applied to end-of-life (EOL) concrete recycling
- Protecting the food supply chain: Utilizing SERS and portable Raman spectroscopy
- Non-destructive determination of grape berry sugar concentration using visible/near infrared imaging and possible impact on wine quality
- Visible hyperspectral imaging for lamb quality prediction
- Near infrared spectroscopy as a tool for in-line control of process and material properties of PLA biopolymer
- Large scale classification of spectral signatures
