• +353-1-415-1241(GMT OFFICE HOURS)
  • 1-800-526-8630(US/CAN TOLL FREE)
  • 1-917-300-0470(EST OFFICE HOURS)
Hyperspectral Imaging for Food Quality Analysis and Control - Product Image

Hyperspectral Imaging for Food Quality Analysis and Control

  • Published: June 2010
  • 496 Pages
  • Elsevier Science and Technology

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

Part I: Fundamentals
Principles of Hyperspectral Imaging Technology
Spectral Pre-Processing Techniques
Hypercube Classification Methods
Hyperspectral Image Processing Techniques
Hyperspectral Imaging Instruments
Part II: Applications
Pork Quality Using a Hyperspectral Imaging System
Automated Poultry Carcass Inspection by Hyperspectral-Multispectral Line-Scan Imaging System
Quality Evaluation of Fish Fillets by Hyperspectral Imaging
Bruise Detection of Apples Using Hyperspectral Imaging
Analysis of Hyperspectral Images of Citrus Fruits
Using NIR Hyperspectral Imaging for Bruise Detection of Strawberr
Visualization of Sugar Distribution of Melons by Hyperspectral Technique
Measuring Ripening of Tomatoes Using Imaging Spectrometry
Hyperspectral Reflectance Imaging for Detection of Bruising on Pickling Cucumber
Classification of Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging.

Sun, Da-Wen.

Format Properties
Hard Copy (Hard Back) The book will be shipped to you. The cover has a hard back.
Note: Product cover images may vary from those shown
More

RELATED PRODUCTS

Our Clients

Our clients' logos