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Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices IBCFHA /

Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy o...

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Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Tiwari, Rajeev (Editor), Koundal, Deepika (Editor), Upadhyay, Shuchi (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Teme:
Food science.
Biomedical engineering.
Medical informatics.
Artificial intelligence.
Application software.
Food Science.
Food Engineering.
Medical and Health Technologies.
Health Informatics.
Artificial Intelligence.
Computer and Information Systems Applications.
Online dostop:https://doi.org/10.1007/978-3-031-22959-6
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Opis
Izvleček:Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed.
Fizični opis:1 online resource (VIII, 246 p. 70 illus.). 61 illus. in color.
ISBN:9783031229596
DOI:10.1007/978-3-031-22959-6

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