Abstract
A materials structural and chemical composition influences
its optical scattering properties. In this paper we investigate the use of
subsurface laser scattering (SLS) for inferring structural and chemical
information of food products. We have constructed a computer vision
system based on a supercontinuum laser light source and an Acousto-
Optic Tunable Filter (AOTF) to provide a collimated light source, which
can be tuned to any wavelength in the range from 480 to 900 nm. We
present the newly developed hyperspectral vision system together with
a proof-of-principle study of its ability to discriminate between dairy
products with either similar chemical or structural composition. The
combined vision system is a new way for industrial food inspection allowing
non-intrusive online process inspection of parameters that is hard
with existing technology.
| Original language | English |
|---|---|
| Title of host publication | Image Analysis : 17th Scandinavian Conference, SCIA 2011 - Ystad, Sweden, May 2011 - Proceedings |
| Publisher | Springer |
| Publication date | 2011 |
| Pages | 327-337 |
| ISBN (Print) | 978-3-642-21226-0 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 17th Scandinavian Conference on Image Analysis (SCIA) - Ystad Saltsjöbad, Ystad, Sweden Duration: 23 May 2011 → 27 May 2011 http://www.maths.lth.se/vision/scia2011/ |
Conference
| Conference | 17th Scandinavian Conference on Image Analysis (SCIA) |
|---|---|
| Location | Ystad Saltsjöbad |
| Country/Territory | Sweden |
| City | Ystad |
| Period | 23/05/2011 → 27/05/2011 |
| Internet address |
| Series | Lecture Notes in Computer Science |
|---|---|
| Number | 6688 |
| ISSN | 0302-9743 |
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