Literature DB >> 19162795

Determination of food portion size by image processing.

Mingui Sun1, Qiang Liu, Karel Schmidt, Jie Yang, Ning Yao, John D Fernstrom, Madelyn H Fernstrom, James P DeLany, Robert J Sclabassi.   

Abstract

Overweight and obesity have become an epidemic in many parts of the world threatening the health of over one billion people. In order to combat this epidemic effectively, it is desirable to develop new methods to monitor individual's food intake and provide quantitative information about the nutrients and calories consumed in people's daily life. We present an electronic photographic approach and associated image processing algorithms to estimate food portion size, which is then utilized to obtain the required information. Our experiments show that our approach is accurate, providing an effective tool for people to track their nutritional and energy intake.

Entities:  

Mesh:

Year:  2008        PMID: 19162795     DOI: 10.1109/IEMBS.2008.4649292

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Estimation of protein from the images of health drink powders.

Authors:  P Josephin Shermila; A Milton
Journal:  J Food Sci Technol       Date:  2019-12-21       Impact factor: 2.701

2.  Imaged based estimation of food volume using circular referents in dietary assessment.

Authors:  Wenyan Jia; Yaofeng Yue; John D Fernstrom; Ning Yao; Robert J Sclabassi; Madelyn H Fernstrom; Mingui Sun
Journal:  J Food Eng       Date:  2011-10-06       Impact factor: 5.354

3.  Measurement of food volume based on single 2-D image without conventional camera calibration.

Authors:  Yaofeng Yue; Wenyan Jia; Mingui Sun
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

4.  Model-based measurement of food portion size for image-based dietary assessment using 3D/2D registration.

Authors:  Hsin-Chen Chen; Wenyan Jia; Yaofeng Yue; Zhaoxin Li; Yung-Nien Sun; John D Fernstrom; Mingui Sun
Journal:  Meas Sci Technol       Date:  2013-10       Impact factor: 2.046

5.  A wearable electronic system for objective dietary assessment.

Authors:  Mingui Sun; John D Fernstrom; Wenyan Jia; Steven A Hackworth; Ning Yao; Yuecheng Li; Chengliu Li; Madelyn H Fernstrom; Robert J Sclabassi
Journal:  J Am Diet Assoc       Date:  2010-01

Review 6.  Artificial Intelligence in Nutrients Science Research: A Review.

Authors:  Jarosław Sak; Magdalena Suchodolska
Journal:  Nutrients       Date:  2021-01-22       Impact factor: 6.706

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.