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Hyperspectral system for the detection of foreign bodies in meat products

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Title: Hyperspectral system for the detection of foreign bodies in meat products
Authors: Díaz, R.1, Cervera, L.1, Fenollosa, S.1, Ávila, C.1, Belenguer, J. rdiaz@ainia.es
Source: Procedia Engineering. Apr2012, Vol. 25, p313-316. 4p.
Subjects: Meat, Feasibility studies, Multivariate analysis, Computer vision, Spectrum analysis
Geographic Terms: Tenderloin (San Francisco, Calif.), San Francisco (Calif.), California
Abstract: Abstract: Hyperspectral imaging is a powerful technique that combines information of spatial distribution and of the chemical composition. In this study a hyperspectral system has been used to asses the feasibility of this technology to detect defects and properties related to the composition of meat products. Foreign bodies were added to pork tenderloin samples, which were processed to obtain the corresponding hyperspectral datacubes. Multivariate analysis was applied to process the datasets and artificial images of each sample were created to display the results. The obtained results show the great potential of this technique that combines the advantages of traditional machine vision and spectroscopy. [Copyright &y& Elsevier]
Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 70370184
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Hyperspectral system for the detection of foreign bodies in meat products
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  Data: <searchLink fieldCode="AR" term="%22Díaz%2C+R%2E%22">Díaz, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cervera%2C+L%2E%22">Cervera, L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Fenollosa%2C+S%2E%22">Fenollosa, S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ávila%2C+C%2E%22">Ávila, C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Belenguer%2C+J%2E%22">Belenguer, J.</searchLink><i> rdiaz@ainia.es</i>
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  Data: <searchLink fieldCode="JN" term="%22Procedia+Engineering%22">Procedia Engineering</searchLink>. Apr2012, Vol. 25, p313-316. 4p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Meat%22">Meat</searchLink><br /><searchLink fieldCode="DE" term="%22Feasibility+studies%22">Feasibility studies</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink>
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  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Tenderloin+%28San+Francisco%2C+Calif%2E%29%22">Tenderloin (San Francisco, Calif.)</searchLink><br /><searchLink fieldCode="DE" term="%22San+Francisco+%28Calif%2E%29%22">San Francisco (Calif.)</searchLink><br /><searchLink fieldCode="DE" term="%22California%22">California</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Abstract: Hyperspectral imaging is a powerful technique that combines information of spatial distribution and of the chemical composition. In this study a hyperspectral system has been used to asses the feasibility of this technology to detect defects and properties related to the composition of meat products. Foreign bodies were added to pork tenderloin samples, which were processed to obtain the corresponding hyperspectral datacubes. Multivariate analysis was applied to process the datasets and artificial images of each sample were created to display the results. The obtained results show the great potential of this technique that combines the advantages of traditional machine vision and spectroscopy. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Procedia Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.proeng.2011.12.077
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 313
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      – SubjectFull: Meat
        Type: general
      – SubjectFull: Feasibility studies
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Computer vision
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      – SubjectFull: Spectrum analysis
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      – SubjectFull: Tenderloin (San Francisco, Calif.)
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      – SubjectFull: San Francisco (Calif.)
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      – SubjectFull: California
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      – TitleFull: Hyperspectral system for the detection of foreign bodies in meat products
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            NameFull: Fenollosa, S.
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            NameFull: Ávila, C.
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              Text: Apr2012
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              Y: 2012
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