Hyperspectral Imaging for Food Quality Analysis and Control
eBook - ePub

Hyperspectral Imaging for Food Quality Analysis and Control

  1. 496 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Hyperspectral Imaging for Food Quality Analysis and Control

About this book

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.- Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation- Includes real-world, practical application to demonstrate the viability and challenges of working with this technology- Provides necessary information for making correct determination on use of hyperspectral imaging

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Yes, you can access Hyperspectral Imaging for Food Quality Analysis and Control by Da-Wen Sun in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Image
  2. Table of Contents
  3. Front Matter
  4. Copyright
  5. About the Editor
  6. Contributors
  7. Preface
  8. CHAPTER 1. Principles of Hyperspectral Imaging Technology
  9. CHAPTER 2. Spectral Preprocessing and Calibration Techniques
  10. CHAPTER 3. Hyperspectral Image Classification Methods
  11. CHAPTER 4. Hyperspectral Image Processing Techniques
  12. CHAPTER 5. Hyperspectral Imaging Instruments
  13. CHAPTER 6. Meat Quality Assessment Using a Hyperspectral Imaging System
  14. CHAPTER 7. Automated Poultry Carcass Inspection by a Hyperspectral–Multispectral Line-Scan Imaging System
  15. CHAPTER 8. Quality Evaluation of Fish by Hyperspectral Imaging
  16. CHAPTER 9. Bruise Detection of Apples Using Hyperspectral Imaging
  17. CHAPTER 10. Analysis of Hyperspectral Images of Citrus Fruits
  18. CHAPTER 11. Visualization of Sugar Distribution of Melons by Hyperspectral Technique
  19. CHAPTER 12. Measuring Ripening of Tomatoes Using Imaging Spectrometry
  20. CHAPTER 13. Using Hyperspectral Imaging for Quality Evaluation of Mushrooms
  21. CHAPTER 14. Hyperspectral Imaging for Defect Detection of Pickling Cucumbers
  22. CHAPTER 15. Classification of Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging
  23. Index