Introduction to Hyperspectral Imaging Technology

M. Kamruzzaman, Da Wen Sun

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Traditional methods are still widely used in most food industries due to the unavailability of smart alternatives. Traditional destructive methods are not suitable in today's hypercompetitive marketplace. Consequently, a cost-effective, efficient, rapid, and reliable method is required. In particular, there is a great interest in developing nondestructive optical technologies that have the capability of monitoring in a real-time assessment. Among them, hyperspectral imaging techniques have received ample attention. Hyperspectral imaging systems provide spatial and spectral details; therefore, these systems introduce new sensing facilities that enable improved inspection. Moreover, hyperspectral imaging can be used for online monitoring if properly optimized. This chapter first describes the fundamentals of hyperspectral imaging techniques, followed by an overview of multivariate data analysis, optimal wavelength selection, model evaluation, multivariate image analysis, and software for data/image analysis. Finally, the applications of hyperspectral imaging for evaluating quality, safety, and authenticity of muscle foods are illustrated.

Original languageEnglish (US)
Title of host publicationComputer Vision Technology for Food Quality Evaluation
Subtitle of host publicationSecond Edition
EditorsDa-Wen Sun
PublisherAcademic Press
Pages111-139
Number of pages29
Edition2
ISBN (Print)9780128022320
DOIs
StatePublished - Apr 27 2016
Externally publishedYes

Keywords

  • Beef
  • Chicken
  • Fish
  • Hyperspectral imaging
  • Lamb
  • Multispectral imaging
  • Multivariate analysis
  • Muscle foods
  • Pork

ASJC Scopus subject areas

  • General Engineering
  • General Agricultural and Biological Sciences

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