Hyperspectral imaging (HSI) is an emerging platform technology that integrates conventional imaging and spectroscopy to attain both spatial and spectral information from an object. In recent years, HSI has rapidly matured into one of the most powerful tools for food quality analysis and control. In the project, HSI has been applied for beef eating quality evaluation. Pre-processing of HSI spectral profiles is needed, in order to eliminate undesired noises. Singular spectrum analysis (SSA) will be demonstrated to be an effective pre-processing step in de-noising HSI spectra.
|Number of pages||1|
|Publication status||Published - Sep 2014|
|Event||Farm Animal IMaging (FAIM) - Copenhagen, Denmark|
Duration: 25 Sep 2014 → 26 Sep 2014
|Conference||Farm Animal IMaging (FAIM)|
|Period||25/09/14 → 26/09/14|
- hyperspectral imaging
- singular spectrum analysis
- beef quality prediction
Qiao, T., Ren, J., Zabalza, J., Craigie, C., Maltin, C., & Marshall, S. (2014). Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. 148. Poster session presented at Farm Animal IMaging (FAIM), Copenhagen, Denmark.