000			01795nam a2200229zi 4500
999			_c29630 _d57628
005			20171026034748.0
020			_a978-0-12-802232-0
037			_aBC_714 38 _fbroch
040			_aBC-ENSA _bfre
041			_aang
080			_a631
100			_aSUN, Da-Wen
245			_aComputer Vision Technology for Food Quality Evaluation
250			_a2e éd.
260			_aLondon ; Cambridge _bElsevier Science _c2016
300			_a635 p. _bill. en coul., couv. ill. en coul. _c25 cm
541			_cACHN
562			_e01 exemplaire
942			_c09
520			_aComputer 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
653			_aANALYSE D'IMAGE/VISION PAR ORDINATEUR/IMAGERIE/QUALITE DES ALIMENTS/IMAGE LANDSAT/TECHNIQUE D'EVALUATION