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Computer vision technology in the food and beverage industries /

The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular se...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Sun, Da-Wen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; Philadelphia, PA : Woodhead Pub., 2012.
Colección:Woodhead Publishing in food science, technology, and nutrition ; no. 238.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 0 0 |a Computer vision technology in the food and beverage industries /  |c [edited by] Da-Wen Sun. 
260 |a Cambridge, UK ;  |a Philadelphia, PA :  |b Woodhead Pub.,  |c 2012. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Woodhead Publishing series in food science, technology and nutrition,  |x 2042-8049 ;  |v no. 238 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
505 0 |a Cover; Computer vision technology in the food and beverage industries; Copyright; Contents; Contributor contact details; About the editor; Woodhead Publishing Series in Food Science, Technology and Nutrition; Part I An introduction to computer vision in the food and beverage industries; 1 Computer vision and infrared techniques for image acquisition in the food and beverage industries; 1.1 Introduction; 1.2 The electromagnetic spectrum; 1.3 Image acquisition systems; 1.4 Conclusions; 1.5 References; 1.6 Appendix: nomenclature and abbreviations. 
505 8 |a 2 Hyperspectral and multispectral imaging in the food and beverage industries2.1 Introduction; 2.2 Spectral image acquisition methods; 2.3 Construction of spectral imaging systems; 2.4 Calibration of spectral imaging systems; 2.5 Spectral images and analysis techniques; 2.6 Applications for food and beverage products; 2.7 Conclusions; 2.8 Further information; 2.9 References; 3 Tomographic techniques for computer vision in the food and beverage industries; 3.1 Introduction; 3.2 Nuclear tomography; 3.3 Electrical impedance; 3.4 Image reconstruction; 3.5 Applications; 3.6 Conclusions. 
505 8 |a 3.7 References3.8 Appendix: nomenclature and abbreviations; 4 Image processing techniques for computer vision in the food and beverage industries; 4.1 Introduction; 4.2 Digital image analysis techniques; 4.3 Classification; 4.4 Relevance, impact and trends for the food and beverage industry; 4.5 Conclusions; 4.6 References; Part II Computer vision applications in food and beverage processing operations/technologies; 5 Computer vision in food processing: an overview; 5.1 Introduction to computer vision; 5.2 Technology selection; 5.3 Selection of image analysis methods; 5.4 Application examples. 
505 8 |a 5.5 Conclusion5.6 References; 6 Computer vision for automatic sorting in the food industry; 6.1 Introduction; 6.2 Basic techniques and their application; 6.3 Advanced techniques and their application; 6.4 Alternative image modalities; 6.5 Special real-time hardware for food sorting; 6.6 Recent advances in computer vision for food sorting; 6.7 Future trends; 6.8 Conclusion; 6.9 Sources of further information and advice; 6.10 Acknowledgements; 6.11 References; 7 Computer vision for foreign body detection and removal in the food industry; 7.1 Introduction; 7.2 Optical inspection. 
505 8 |a 7.3 Fundamentals of X-ray inspection7.4 X-ray inspection of food products; 7.5 Conclusions; 7.6 References; 8 Automated cutting in the food industry using computer vision; 8.1 Introduction; 8.2 Machine vision and computer vision; 8.3 Feature selection, extraction and analysis; 8.4 Machine learning algorithms; 8.5 Application examples: sensing for automated cutting and handling; 8.6 Future trends; 8.7 Conclusions; 8.8 Acknowledgments; 8.9 References; 9 Image analysis of food microstructure; 9.1 Introduction; 9.2 Quality control applications of digital imaging. 
520 |a The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry. Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Food industry and trade  |x Quality control. 
650 0 |a Food adulteration and inspection  |x Equipment and supplies. 
650 0 |a Image processing  |x Methodology. 
650 0 |a Imaging systems  |x Design and construction. 
650 0 |a Radiography, Industrial. 
650 0 |a Food processing plants  |x Equipment and supplies. 
650 6 |a Aliments  |x Industrie et commerce  |x Qualité  |x Contrôle. 
650 6 |a Traitement d'images  |x Méthodologie. 
650 6 |a Radiographie industrielle. 
650 6 |a Aliments  |x Traitement  |x Usines  |x Appareils et matériel. 
650 7 |a Food & beverage technology.  |2 bicssc 
650 7 |a Computer vision.  |2 bicssc 
650 7 |a Technology.  |2 eflch 
650 7 |a Food industry and trade  |x Quality control  |2 fast 
650 7 |a Food processing plants  |x Equipment and supplies  |2 fast 
650 7 |a Imaging systems  |x Design and construction  |2 fast 
650 7 |a Radiography, Industrial  |2 fast 
700 1 |a Sun, Da-Wen. 
776 0 8 |i Print version:  |t Computer vision technology in the food and beverage industries.  |d Oxford ; Philadelphia : Woodhead Publishing Ltd., 2012  |z 9780857090362  |w (OCoLC)781679181 
830 0 |a Woodhead Publishing in food science, technology, and nutrition ;  |v no. 238. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780857090362/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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