Comparison of a multispectral vision system and a colorimeter for the assessment of meat color

Camilla Himmelstrup Trinderup, Anders Bjorholm Dahl, Kirsten Jensen, Jens Michael Carstensen, Knut Conradsen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The color assessment ability of a multispectral vision system is investigated by a comparison study with color measurements from a traditional colorimeter. The experiment involves fresh and processed meat samples. Meat is a complex material; heterogeneous with varying scattering and reflectance properties, so several factors can influence the instrumental assessment of meat color. In order to assess whether two methods are equivalent, the variation due to these factors must be taken into account. A statistical analysis was conducted and showed that on a calibration sheet the two instruments are equally capable of measuring color. Moreover the vision system provides a more color rich assessment of fresh meat samples with a glossier surface, than the colorimeter. Careful studies of the different sources of variation enable an assessment of the order of magnitude of the variability between methods accounting for other sources of variation leading to the conclusion that color assessment using a multispectral vision system is superior to traditional colorimeter assessments. (C) 2014 Elsevier Ltd. All rights reserved.
Original languageEnglish
JournalMeat Science
Volume102
Pages (from-to)1-7
Number of pages7
ISSN0309-1740
DOIs
Publication statusPublished - 2015

Keywords

  • calibration sheet
  • glossier surface
  • meat color
  • 13502, Food technology - General and methods
  • colorimeter laboratory techniques
  • multispectral vision system field equipment
  • statistical analysis mathematical and computer techniques
  • Equipment Apparatus Devices and Instrumentation
  • Foods
  • Color
  • Colorimeter
  • Meat
  • Multispectral
  • Reflectance properties
  • Variance component analysis
  • Colorimeters
  • Colorimetry
  • Computer vision
  • Meats
  • Reflection
  • Color assessments
  • Color measurements
  • Comparison study
  • Complex materials
  • Multi-spectral
  • Sources of variation

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