Spring Meeting 2019
The NVPHBV Spring Meeting 2019 will be held on Thursday 23 May 2019, 10:30-18:00 at the NHL Stenden University of Applied Sciences, Leeuwarden. For directions see Google maps below. Address and parking: Rengerslaan 10, Leeuwarden. Take a ticket when parking; NHL Stenden will provide free drive-out tickets at the end of the meeting.
Hyper Spectral Imaging
Hyper spectral imaging (HSI) has developed into a mature science with many important application areas. In this NVPHBV Spring Meeting 2019 we present an attractive program, with overviews of the field and deep studies into food characterization, plant and fruit disease detection, forensics and surgical applications. Deep learning is always an integral part of the high-dimensional high-volume data analysis.
The program (see below) starts with a guided tour in the hyper spectral imaging laboratory of NHL Stenden University, our host.
Hourly Schedule
Program
- 10:30 - 11:00
- Welcome
- walk in with coffee/tea
- 11:00 - 11:30
- Introduction into Hyper Spectral Imaging
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Speakers:
Jaap van Loosdrecht
- 11:30 - 12:00
- Hyper Spectral Imaging lab
- Visit to the Hyper Spectral Imaging lab of NHL Stenden University
- 12:00 - 12:30
- Lunch
- 12:30 - 13:00
- NVPHBV member meeting
- 13:00 - 13:03
- Introduction afternoon session
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Speakers:
Em.Prof. Bart ter Haar Romeny
- 13:03 - 13:40
- Hyperspectral imaging in food characterisation – opportunities, challenges and applications
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Speakers:
Dr. Aoife Gowen
- 13:40 - 14:20
- Hyperspectral Imaging in Agriculture & Food
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Speakers:
Dr.ing. Gerrit Polder
- 14:20 - 15:00
- Hyperspectral imaging and applications
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Speakers:
Klaas Dijkstra MSc
- 15:00 - 15:30
- Break, coffee & tea
- 15:30 - 16:10
- Comparison of super resolution algorithms for mosaic hyper spectral imagery Robert Nieuwenhuizen1, Michael Schottner2, Roelof van Dijk1, Raimon Pruim1, Nanda van der Stap1, Klamer Schutte1
- 16:10 - 16:40
- The surgical applications of 2D spectral imaging Sander de Jonge, Quest Innovations, Middenmeer, NL
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Speakers:
Sander de Jonge
- 16:40 - 18:00
- Networking and drinks
Aoife Gowen is Associate Professor in the UCD School of Biosystems and Food Engineering. Her research area is multidisciplinary, involving applications of HSI and chemometrics to biological systems, including foods, microbes and biomaterials. After completing her undergraduate degree in Theoretical Physics in 2000, she moved to a new discipline – the highly applied research area of Food Science. Her PhD thesis concerned mathematical modeling of food quality parameters and optimization of food process operations. During her time as a post-doctoral researcher she investigated the intersection of near infrared spectroscopy, chemical imaging and chemometrics for characterization of biological systems. In 2014 she set up a state of the art laboratory for HSI within UCD Science and has expanded her team through EU and nationally funded grants, including an ERC starting grant. As PI, she currently leads three major research projects and a team of 12 researchers within the UCD Spectral Imaging Research Group (further information at: http://www.ucd.ie/sirg). She is editor in chief of the Journal of Spectral Imaging (https://www.impopen.com/jsi) and has developed new research-informed modules in hyperspectral imaging and optical sensors for undergraduate and graduate students.
Gerrit Polder is senior researcher Image Analysis and Machine Vision at the department Greenhouse Technology of Wageningen University and Research Center. In 1985 he obtained a B.Sc. in electronics at the HAN University of Applied Sciences in Arnhem the Netherlands. After working several years in image processing and related topics, in 2004 he got a Ph.D. from Delft University of Technology on spectral imaging for measuring biochemicals in plant material. From 2004 he works at Wageningen University on machine vision and robotics projects in agriculture.
With protected cultivation and arable farming as main application fields, his research interests include hyperspectral and multispectral imaging for disease detection, high throughput automated plant phenotyping using stereo-vision, Time Of Flight (ToF) Imaging and lightfield technology. Furthermore he worked on sensor fusion (color, fluorescence and infrared) for monitoring plant health using a robot system, and other projects mainly focused on agricultural research.
He is (co-)author of 3 book chapters and more than 70 papers in peer reviewed journals and conference proceedings.
Klaas Dijkstra is Senior Researcher at the NHL Stenden University of Applied Sciences. His main research interest is in computer vision, deep learning and hyperspectral imaging. Since 2005 he has been active in various applied research projects in the area of computer vision. In 2013 he obtained his Master of Science degree from the Limerick Institute of Technology on the application of evolutionary algorithms to computer vision problems. Currently he is a PhD candidate at the University of Groningen on: ‘Hyper- and multispectral image analysis using Deep Learning and Unmanned Aerial Vehicles.’
Sander de Jonge obtained a B.Sc. in mechanical engineering, and holds the position of Manager Engineering at Quest Medical Imaging, the medical branch of The Quest Group. The Group has been active in the market for multispectral cameras for nearly 15 years. During this period a solid knowledge base has been acquired on how to build cameras for many professional and demanding applications. Quest Medical Imaging designs and manufactures multi- and hyperspectral camera systems for surgery.
He has over 10 years of experience in the design and development of spectral camera systems for industrial and medical applications and a background in physics, mechanical engineering and computer systems. He was lead engineer of the design and development team for the Quest Spectrum Platform for intra-operative fluorescence imaging, from initial conception to market approvals by EU and US FDA. He serves as technical lead in several national and international R&D projects.
Speakers
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Em.Prof. Bart ter Haar Romenychairman NVPHBV - Eindhoven University of Technology - Eindhoven NL
Prof. Romeny has spent his whole career in geometrical biomedical image analysis, exploiting ‘brain-inspired computing’. The methods developed in that computer vision community turn out to be today eminently suitable for explainable AI (XAI). Prof. Romeny is a awarded speaker, and will give this extended lecture as his farewell as president of our society for 9 years.
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Sander de JongeQuest Innovations, Middenmeer, NL
The surgical applications of 2D spectral imaging
Sander de Jonge obtained a B.Sc. in mechanical engineering, and holds the position of Manager Engineering at Quest Medical Imaging, the medical branch of The Quest Group. The Group has been active in the market for multispectral cameras for nearly 15 years. During this period a solid knowledge base has been acquired on how to build cameras for many professional and demanding applications. Quest Medical Imaging designs and manufactures multi- and hyperspectral camera systems for surgery.
He has over 10 years of experience in the design and development of spectral camera systems for industrial and medical applications and a background in physics, mechanical engineering and computer systems. He was lead engineer of the design and development team for the Quest Spectrum Platform for intra-operative fluorescence imaging, from initial conception to market approvals by EU and US FDA. He serves as technical lead in several national and international R&D projects.
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Jaap van LoosdrechtStenden University of Applied Sciences - Leeuwarden NL
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Dr. Aoife GowenUniversity College - Dublin Ireland
Hyperspectral imaging in food characterisation – opportunities, challenges and applications
Aoife Gowen is Associate Professor in the UCD School of Biosystems and Food Engineering. Her research area is multidisciplinary, involving applications of HSI and chemometrics to biological systems, including foods, microbes and biomaterials.
After completing her undergraduate degree in Theoretical Physics in 2000, she moved to a new discipline – the highly applied research area of Food Science. Her PhD thesis concerned mathematical modeling of food quality parameters and optimization of food process operations. During her time as a post-doctoral researcher she investigated the intersection of near infrared spectroscopy, chemical imaging and chemometrics for characterization of
biological systems.In 2014 she set up a state of the art laboratory for HSI within UCD Science and has expanded her team through EU and nationally funded grants, including an ERC starting grant. As PI, she currently leads three major research projects and a team of 12 researchers within the UCD Spectral Imaging Research Group (further information at: http://www.ucd.ie/sirg). She is editor in chief of the Journal of Spectral Imaging (https://www.impopen.com/jsi) and has developed new research-informed modules in hyperspectral imaging and optical sensors for undergraduate and graduate students.
-
Dr.ing. Gerrit PolderWageningen University and Research - Wageningen NL
Hyperspectral Imaging in Agriculture & Food
Gerrit Polder is senior researcher Image Analysis and Machine Vision at the department Greenhouse Technology of Wageningen University and Research Center. In 1985 he obtained a B.Sc. in electronics at the HAN University of Applied Sciences in Arnhem the Netherlands. After working several years in image processing and related topics, in 2004 he got a Ph.D. from Delft University of Technology on spectral imaging for measuring biochemicals in plant material. From 2004 he works at Wageningen University on machine vision and robotics projects in agriculture.
With protected cultivation and arable farming as main application fields, his research interests include hyperspectral and multispectral imaging for disease detection, high throughput automated plant phenotyping using stereo-vision, Time Of Flight (ToF) Imaging and lightfield technology. Furthermore he worked on sensor fusion (color, fluorescence and infrared) for monitoring plant health using a robot system, and other projects mainly focused on agricultural research.
He is (co-)author of 3 book chapters and more than 70 papers in peer reviewed journals and conference proceedings.
-
Klaas Dijkstra MScNHL Stenden University of Applied Sciences, Leeuwarden, NL
Hyperspectral imaging and applications
Klaas Dijkstra is Senior Researcher at the NHL Stenden University of Applied Sciences. His main research interest is in computer vision, deep learning and hyperspectral imaging. Since 2005 he has been active in various applied research projects in the area of computer vision. In 2013 he obtained his Master of Science degree from the Limerick Institute of Technology on the application of evolutionary algorithms to computer vision problems. Currently he is a PhD candidate at the University of Groningen on: ‘Hyper- and multispectral image analysis using Deep Learning and Unmanned Aerial Vehicles.’