Abstract
Quantification of specific compounds in a food-matrix is a
very important factor for an overall quantification of the quality. Near
infrared (NIR) hyperspectral imaging is a powerful technique to quantify
specific constituents as well as its spatial distribution of the foodmatrix.
Hyperspectral imaging is however very expensive. We propose a
way to design a simple measurement system consisting of a NIR sensitive
monochrome camera together with a small set of optical filters to
estimate and visualize a specific food compound without requiring a full
hyperspectral device. Based on a set of hyperspectral measurements of
beef and physical and chemical analysis of the fat within the beef, we
propose a method to design a set of ideal Band Pass Filters (BPF), as
small as possible while still maintaining predictability of fat content. The
results show that 2 filters is a suitable amount of filters for prediction.
| Original language | English |
|---|---|
| Title of host publication | Scandinavian Workshop on Imaging Food Quality 2011 : Ystad, May 27, 2011 - Proceedings |
| Number of pages | 98 |
| Place of Publication | Kgs. Lyngby, Denmark |
| Publisher | Technical University of Denmark |
| Publication date | 2011 |
| Pages | 23-28 |
| Publication status | Published - 2011 |
| Event | Scandinavian Workshop on Imaging Food Quality 2011 - Ystad, Sweden Duration: 27 May 2011 → 27 May 2011 http://www2.imm.dtu.dk/projects/SWIFQ/ |
Workshop
| Workshop | Scandinavian Workshop on Imaging Food Quality 2011 |
|---|---|
| Country/Territory | Sweden |
| City | Ystad |
| Period | 27/05/2011 → 27/05/2011 |
| Other | Held in conjunction with the Scandinavian Conference on Image Analysis (SCIA 2011) |
| Internet address |
| Series | IMM-Technical Report-2011 |
|---|---|
| Number | 15 |
Keywords
- Optical filter
- Beef
- NIR hyperspectral imaging
- Content