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{ "item_title" : "Computer Vision Technology for Food Quality Evaluation", "item_author" : [" Da-Wen Sun "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/12/802/232/0128022329_b.jpg", "price_data" : { "retail_price" : "185.00", "online_price" : "185.00", "our_price" : "185.00", "club_price" : "185.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer Vision Technology for Food Quality Evaluation|Da-Wen Sun

Computer Vision Technology for Food Quality Evaluation

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Overview

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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Details

  • ISBN-13: 9780128022320
  • ISBN-10: 0128022329
  • Publisher: Academic Press
  • Publish Date: April 2016
  • Dimensions: 9.25 x 7.5 x 1.38 inches
  • Shipping Weight: 2.94 pounds
  • Page Count: 658

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