Computer Vision Technology for Food Quality Evaluation

The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scienti...

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Bibliographic Details
Other Authors: Sun, Da-Wen (edited)
Format: Book
Language:English
Published: Amsterdam Boston Elsevier/Academic Press 2008
Series:Food science and technology international series
Subjects:
Online Access:Click Here to View Status and Holdings.
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245 0 0 |a Computer Vision Technology for Food Quality Evaluation  |c Edited by Da-Wen Sun, Director, Food Refrigeration and Computerised Food Technology Research Group, National University of Ireland, Dublin Ireland 
264 # 1 |a Amsterdam  |a Boston  |b Elsevier/Academic Press  |c 2008 
264 # 4 |c ©2008 
300 # # |a xiv, 583 pages  |b illustrations  |c 26 cm 
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490 1 # |a Food science and technology international series 
504 # # |a Includes bibliographical references and index 
520 # # |a The first book in this rapidly expanding area, Computer Vision Technology for Food Quality Evaluation thoroughly discusses the latest advances in image processing and analysis. Computer vision has attracted much research and development attention in recent years and, as a result, significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. This unique work provides engineers and technologists working in research, development, and operations in the food industry with critical, comprehensive and readily accessible information on the art and science of computer vision technology. Undergraduate and postgraduate students and researchers in universities and research institutions will also find this an essential reference source. Discusses novel technology for recognizing objects and extracting quantitative information from digital images in order to provide objective, rapid, non-contact and non-destructive quality evaluation. International authors with both academic and professional credentials address in detail one aspect of the relevant technology per chapter making this ideal for textbook use Divided into three parts, it begins with an outline of the fundamentals of the technology, followed by full coverage of the application in the most researched areas of meats and other foods, fruits, vegetables and grains. 
650 # 0 |a Computer vision  |x Data processing 
650 # 0 |a Food  |x Quality 
650 # 0 |a Food adulteration and inspection  |x Data processing 
700 1 # |a Sun, Da-Wen  |e edited 
830 # 0 |a Food science and technology international series 
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