Hyperspectral imaging for food quality analysis and control

1st ed.
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Last edited by ImportBot
August 2, 2020 | History

Hyperspectral imaging for food quality analysis and control

1st ed.
  • 2 Want to read

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.

Publish Date
Publisher
Academic
Language
English

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Previews available in: English

Edition Availability
Cover of: Hyperspectral Imaging for Food Quality Analysis and Control
Hyperspectral Imaging for Food Quality Analysis and Control
Sep 02, 2016, Academic Press
paperback
Cover of: Hyperspectral Imaging for Food Quality Analysis and Control
Hyperspectral Imaging for Food Quality Analysis and Control
2010, Elsevier Science & Technology Books
in English
Cover of: Hyperspectral imaging for food quality analysis and control
Hyperspectral imaging for food quality analysis and control
2010, Academic
electronic resource / in English - 1st ed.

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Book Details


Table of Contents

Principles of Hyperspectral Imaging Technology
Spectral Pre-Processing Techniques
Hypercube Classification Methods
Hyperspectral Image Processing Techniques
Hyperspectral Imaging Instruments
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 Strawberries
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.

Edition Notes

Mode of access: World Wide Web.

Published in
London

Classifications

Library of Congress
TX531 .H97 2010, TX541, TX547 .H97 2010

The Physical Object

Format
[electronic resource] /

ID Numbers

Open Library
OL27044523M
Internet Archive
hyperspectralima00sund
ISBN 10
0123747538
ISBN 13
9780123747532
LCCN
2015376555
OCLC/WorldCat
643060586

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August 2, 2020 Edited by ImportBot import existing book
July 1, 2019 Created by MARC Bot import new book