Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method

Tong Qiao, Jinchang Ren, Jaime Zabalza, Cameron Craigie, Charlotte Maltin, Stephen Marshall

Research output: Contribution to conferencePoster

Abstract

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.
LanguageEnglish
Pages148
Number of pages1
Publication statusPublished - Sep 2014
EventFarm Animal IMaging (FAIM) - Copenhagen, Denmark
Duration: 25 Sep 201426 Sep 2014

Conference

ConferenceFarm Animal IMaging (FAIM)
CountryDenmark
CityCopenhagen
Period25/09/1426/09/14

Fingerprint

hyperspectral imagery
Beef
processing technology
Spectrum analysis
Spectrum Analysis
beef
Eating
ingestion
image analysis
Food Analysis
Food Quality
Processing
Quality Control
Noise
Technology
food quality
Red Meat
Hyperspectral imaging
Spectroscopy
spectroscopy

Keywords

  • hyperspectral imaging
  • singular spectrum analysis
  • beef quality prediction

Cite this

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.
Qiao, Tong ; Ren, Jinchang ; Zabalza, Jaime ; Craigie, Cameron ; Maltin, Charlotte ; Marshall, Stephen. / Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. Poster session presented at Farm Animal IMaging (FAIM), Copenhagen, Denmark.1 p.
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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' Farm Animal IMaging (FAIM), Copenhagen, Denmark, 25/09/14 - 26/09/14, pp. 148.

Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. / Qiao, Tong; Ren, Jinchang; Zabalza, Jaime; Craigie, Cameron; Maltin, Charlotte; Marshall, Stephen.

2014. 148 Poster session presented at Farm Animal IMaging (FAIM), Copenhagen, Denmark.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method

AU - Qiao, Tong

AU - Ren, Jinchang

AU - Zabalza, Jaime

AU - Craigie, Cameron

AU - Maltin, Charlotte

AU - Marshall, Stephen

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AB - 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.

KW - hyperspectral imaging

KW - singular spectrum analysis

KW - beef quality prediction

UR - http://www.cost-faim.eu/

UR - http://www.cost-faim.eu/faimiii.html

M3 - Poster

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Qiao T, Ren J, Zabalza J, Craigie C, Maltin C, Marshall S. Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing method. 2014. Poster session presented at Farm Animal IMaging (FAIM), Copenhagen, Denmark.