Computer Vision Technology for Food Quality Evaluation

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Computer Vision Technology for Food Quality Evaluation, Second Edition continues to be a valuable resource to engineers, researchers, and technologists in research and development, as well as a complete reference to students interested in this rapidly expanding field. This new edition highlights the most recent developments in imaging processing and analysis techniques and methodology, captures cutting-edge developments in computer vision technology, and pinpoints future trends in research and development for food quality and safety evaluation and control. It is a unique reference that provides a deep understanding of the issues of data acquisition and image analysis and offers techniques to solve problems and further develop efficient methods for food quality assessment.

Autorentext
Dr. Da-Wen Sun is internationally recognized for his leadership in food engineering research and education and is a highly respected journal editor. He is the recipient of numerous awards and honors including election to the Royal Irish Academy in 2010, selection as a Member of Academia Europaea (The Academy of Europe) in 2011, induction as a Fellow of International Academy of Food Science and Technology in 2012, recipient of the International Association for Food Protection (IAFP) Freezing Research Award in 2013, recipient of the International Association of Engineering and Food (IAEF) Lifetime Achievement Award in 2015, and named as a Thomson Reuters Highly Cited Researcher in 2015. Dr. Da-Wen Sun is internationally recognized for his leadership in food engineering research and education and a highly respected journal editor. He is the recipient of numerous awards and honors including election to the Royal Irish Academy in 2010, selection as a Member of Academia Europaea (The Academy of Europe) in 2011, induction as a Fellow of International Academy of Food Science and Technology in 2012, the International Association for Food Protection (IAFP) Freezing Research Award in 2013, the International Association of Engineering and Food (IAEF) Lifetime Achievement Award in 2015 and naming as 2015 Thomson Reuters Highly Cited Researcher. His many scholarly works have become standard reference materials for researchers in the areas of computer vision/hyperspectral imaging, computational fluid dynamics modelling, and vacuum cooling. Results of his work have been published in more than 400 peer-reviewed journal papers (Web of Science h-index = 66), among them; thirty papers have been selected by ESI as highly-cited papers, ranking him first in the world in Agricultural Sciences.

Klappentext
Computer Vision Technology for Food Quality Evaluation, Second Edition, continues to be a valuable resource to engineers, researchers, and technologists in research and development, as well as a complete reference to students interested in this rapidly expanding field. This new edition highlights the most recent developments in imaging processing and analysis techniques and methodology, captures cutting-edge developments in computer vision technology, and pinpoints future trends in research and development in computer vision technology for food quality and safety evaluation and control. It is a unique reference that provides a deep understanding of the issues of data acquisition and image analysis and offers techniques to solve problems and further develop efficient methods for food quality assessment.


Inhalt

Part 1. Fundamentals of Computer Vision Technology
1. Image Acquisition Systems

  1. Image Segmentation Techniques
  2. Object Measurement Methods
  3. Object Classification Methods
  4. Introduction to Hyperspectral Imaging Technology
  5. Introduction to Raman Chemical Imaging Technology

    Part 2. Quality Evaluation of Meat, Poultry and Seafood
    7. Quality Evaluation of Meat Cuts

  6. Quality Measurement of Cooked Meats
  7. Quality Evaluation of Poultry Carcass
  8. Quality Evaluation of Seafoods

    Part 3. Quality Evaluation of Fruit and Vegetables
    11. Quality Evaluation of Apples

  9. Quality Evaluation of Citrus Fruits
  10. Quality Evaluation of Strawberry
  11. Classification and Quality Evaluation of Table Olives
  12. Grading of Potatoes

    Part 4. Quality Evaluation of Grains
    16. Wheat Quality Evaluation

  13. Quality Evaluation of Rice
  14. Quality Evaluation of Corn/Maize

    Part 5. Quality Evaluation of Other Foods
    19. Quality Evaluation of Pizzas

  15. Cheese Quality Evaluation
  16. Quality Evaluation of Bakery Products
  17. Quality Evaluation and Control of Potato Chips

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09780128022320
    • Auflage 2. A.
    • Editor Sun Da-Wen
    • Herausgeber Academic Press
    • Gewicht 1500g
    • Größe H235mm x B191mm x T58mm
    • Jahr 2016
    • EAN 9780128022320
    • Format Fester Einband
    • ISBN 978-0-12-802232-0
    • Veröffentlichung 10.05.2016
    • Titel Computer Vision Technology for Food Quality Evaluation
    • Sprache Englisch

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