Computer Vision Technology for Food Quality Evaluation

Nonfiction, Science & Nature, Technology, Food Industry & Science
Cover of the book Computer Vision Technology for Food Quality Evaluation by , Elsevier Science
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Author: ISBN: 9780128025994
Publisher: Elsevier Science Publication: April 7, 2016
Imprint: Academic Press Language: English
Author:
ISBN: 9780128025994
Publisher: Elsevier Science
Publication: April 7, 2016
Imprint: Academic Press
Language: English

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.

  • Thoroughly explains what computer vision technology is, what it can do, and how to apply it for food quality evaluation
  • Includes a wide variety of computer vision techniques and applications to evaluate a wide variety of foods
  • Describes the pros and cons of different techniques for quality evaluation
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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