About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

Near-Infrared Hyper-spectral Image Analysis of Astaxanthin Concentration in Fish Feed Coating

In 2012 Ieee International Conference on Imaging Systems and Techniques (ist) — 2012, pp. 136-141
From

Department of Informatics and Mathematical Modeling, Technical University of Denmark1

DTU Data Analysis, Department of Informatics and Mathematical Modeling, Technical University of Denmark2

Toyohashi University of Technology3

National Food Institute, Technical University of Denmark4

Division of Industrial Food Research, National Food Institute, Technical University of Denmark5

The aim of this study was to investigate the possibility of predicting concentration levels of synthetic astaxanthin coating of aquaculture feed pellets by hyper-spectral image analysis in the near infra-red (NIR) range and optical filter design. The imaging devices used were a VideometerLab with 20 wavelengths in the range of 385-1050 nm, and a Specim camera with 256 wavelengths in the range of 970-2500 nm.

Linear discriminant analysis (LDA), partial least squares regression (PLSR), and a modified stepwise random selection with ordinary least squares (OLS) for filter selection was used for prediction of the concentration level. The results show that it is possible to predict the level of synthetic astaxanthin coating using either hyper-spectral imaging or three bandpass filters (BPF).

Language: English
Publisher: IEEE
Year: 2012
Pages: 136-141
Proceedings: 2012 IEEE International Conference on Imaging Systems and Techniques (IST)
ISBN: 145771776X , 145771776x , 9781457717765 , 1457717743 , 1457717751 , 9781457717741 and 9781457717758
Types: Conference paper
DOI: 10.1109/IST.2012.6295524
ORCIDs: Ersbøll, Bjarne Kjær , Frosch, Stina and Nielsen, Michael Engelbrecht

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis