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Hyperspectral Imaging for Food Quality Analysis and Control [electronic resource]

edited by Da-Wen Sun
Format
EBook; Book; Online
Published
London ; Burlington, MA : Academic Press, an imprint of Elsevier, 2010.
Edition
1st ed
Language
English
ISBN
9780123747532 (hbk.), 0123747538 (hbk.)
Summary
"Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products."--Publisher's description.
Contents
  • Principles of hyperspectral imaging technology
  • Spectral preprocessing and calibration techniques
  • Hyperspectral image classification methods
  • Hyperspectral image processing techniques
  • Hyperspectral imaging instruments
  • Meat quality assessment using a hyperspectral imaging system
  • Automated poultry carcass inspection by a hyperspectral-multispectral line-scan imaging system
  • Quality evaluation of fish by hyperspectral imaging
  • Bruise detection of apples using hyperspectral imaging
  • Analysis of hyperspectral images of citrus fruits
  • Visualization of sugar distribution of melons by hyperspectral technique
  • Measuring ripening of tomatoes using imaging spectrometry
  • Using hyperspectral imaging for quality evaluation of mushrooms
  • Hyperspectral imaging for defect detection of pickling cucumbers
  • Classification of wheat kernels using near-infrared reflectance hyperspectral imaging.
Description
Mode of access: World wide Web.
Notes
Includes bibliographical references and index.
Copyright Not EvaluatedCopyright Not Evaluated
Technical Details
  • Access in Virgo Classic
  • Staff View

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    a| Principles of hyperspectral imaging technology -- Spectral preprocessing and calibration techniques -- Hyperspectral image classification methods -- Hyperspectral image processing techniques -- Hyperspectral imaging instruments -- Meat quality assessment using a hyperspectral imaging system -- Automated poultry carcass inspection by a hyperspectral-multispectral line-scan imaging system -- Quality evaluation of fish by hyperspectral imaging -- Bruise detection of apples using hyperspectral imaging -- Analysis of hyperspectral images of citrus fruits -- Visualization of sugar distribution of melons by hyperspectral technique -- Measuring ripening of tomatoes using imaging spectrometry -- Using hyperspectral imaging for quality evaluation of mushrooms -- Hyperspectral imaging for defect detection of pickling cucumbers -- Classification of wheat kernels using near-infrared reflectance hyperspectral imaging.
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