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

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

Electronic And Electrical Engineering

Research output: Contribution to conference › Poster › peer-review

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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.

Original language	English
Pages	148
Number of pages	1
Publication status	Published - Sept 2014
Event	Farm Animal IMaging (FAIM) - Copenhagen, Denmark Duration: 25 Sept 2014 → 26 Sept 2014

Conference

Conference	Farm Animal IMaging (FAIM)
Country/Territory	Denmark
City	Copenhagen
Period	25/09/14 → 26/09/14

Keywords

hyperspectral imaging
singular spectrum analysis
beef quality prediction

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Qiao-etal-FAIM2014-hyperspectral-imaging-based-beef-eating-quality-evaluationAccepted author manuscript, 1.06 MB

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

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.",

keywords = "hyperspectral imaging, singular spectrum analysis, beef quality prediction",

author = "Tong Qiao and Jinchang Ren and Jaime Zabalza and Cameron Craigie and Charlotte Maltin and Stephen Marshall",

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language = "English",

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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

PY - 2014/9

Y1 - 2014/9

N2 - 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.

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

SP - 148

T2 - Farm Animal IMaging (FAIM)

Y2 - 25 September 2014 through 26 September 2014

ER -

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

Abstract

Conference

Keywords

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Use of hyperspectral imaging technologies for prediction of beef meat quality

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