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Research papers

Food recognition using neural network classifier and multiple hypotheses image segmentation

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Pages 100-113 | Received 26 Feb 2019, Accepted 10 Mar 2020, Published online: 06 Apr 2020

References

  • Pouladzadeh P, Villalobos G, Almaghrabi R, et al. A novel SVM based food recognition method for calorie measurement applications. Proc 2012 IEEE Int Conf Multimed Expo Work ICMEW. 2012;2012:495–498.
  • Anthimopoulos M, Dehais J, Diem P, et al. Segmentation and recognition of multi-food meal images for carbohydrate counting. IEEE international conference on bioinformatics and bioengineering (BIBE); 2013. p. 1–4.
  • Six BL, Schap TRE, Zhu FM, et al. Evidence-based development of a mobile telephone food record. J Am Diet Assoc. 2010;110(1):74–79. doi: 10.1016/j.jada.2009.10.010
  • Boushey CJ, Kerr DA, Wright J, et al. Use of technology in children’s dietary assessment. Eur J Clin Nutr. 2009;63(Suppl. 1):S50–S57. doi: 10.1038/ejcn.2008.65
  • Zhu F, Bosch M, Khanna N, et al. Multiple hypotheses image segmentation and classification with application to dietary assessment. IEEE J Biomed Heal Informatics. 2015;19(1):377–388. doi: 10.1109/JBHI.2014.2304925
  • Rahman MH, Li Q, Pickering M, et al. Food volume estimation in a mobile phone based dietary assessment system. 8th Int. Conf. Signal Image Technol. Internet Based Syst. SITIS 2012r; Naples, Italy. IEEE; 2012. p. 988–995.
  • Ciocca G, Napoletano P, Schettini R. Food recognition: a new dataset, experiments, and results. IEEE J Biomed Heal Informatics. 2017;21(3):588–598. doi: 10.1109/JBHI.2016.2636441
  • Minija SJ, Emmanuel WRS. Neural network classifier and multiple hypothesis image segmentation for dietary assessment using calorie calculator dietary assessment using calorie calculator. Imaging Sci J. 2017;0(0):1–14.
  • Zhu F, Bosch M, Khanna N, et al. Multiple hypotheses image segmentation and classification with application to dietary assessment. IEEE J Biomed Heal Informatics. 2015;19(1):377–388. doi: 10.1109/JBHI.2014.2304925
  • Canny J. A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell. 1986;PAMI-8(6):679–698. doi: 10.1109/TPAMI.1986.4767851
  • Lowe DG. Distinctive image features from scale-invariant keypoints. Int J Comput Vis. 2004;60(2):91–110. doi: 10.1023/B:VISI.0000029664.99615.94
  • Bay H, Tuytelaars T, Van Gool L. SURF: speeded up robust features. Comput Vis – ECCV 2006. 2006;3951:404–417. doi: 10.1007/11744023_32
  • Freeman W, and E T, Adelson H. The design and use of steerable filters. IEEE Trans Pattern Anal Mach Intell. 1991;13(9):891–906. doi: 10.1109/34.93808
  • Saravanan K, Sasithra S. Review on classification based on artificial neural networks. Int J Ambient Syst Appl. 2014;2(4):11–18.
  • Liu H. On the Levenberg-Marquardt training method for feed-forward neural networks. Proceedings of IEEE international conference on natural computation; Yantai, China. IEEE; 2010. p.1–5.

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