Qiao, Tong and Ren, Jinchang and Zabalza, Jaime and Craigie, Cameron and Maltin, Charlotte and Marshall, Stephen (2014) Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. In: Farm Animal IMaging (FAIM), 2014-09-25 - 2014-09-26.
Qiao_etal_FAIM2014_hyperspectral_imaging_based_beef_eating_quality_evaluation.pdf - Accepted Author Manuscript
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.
|Item type:||Conference or Workshop Item (Poster)|
|Keywords:||hyperspectral imaging, singular spectrum analysis, beef quality prediction, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering, Food Science|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||05 Mar 2015 14:41|
|Last modified:||24 Feb 2017 15:19|