• DocumentCode
    393807
  • Title

    Dishes extraction with neural network for food intake measuring system

  • Author

    Fujiwara, Koichi ; Takeda, Fumiaki ; Uchida, Hisaya ; Lalita, Sakoobunthu

  • Author_Institution
    Dept. of Inf. Syst. Eng., Kochi Univ. of Technol., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    5-7 Aug. 2002
  • Firstpage
    1627
  • Abstract
    We describe a food intake measuring system. This system measures the amount of food intake of each dish. which is put on the tray. Therefore, this system needs to extract dish image from the tray. In this paper, we propose a neural network algorithm (NN) for the dish extraction process. We expect the proposed method can extract the dish image accurately, even if the dish is over lapped partially with other dishes. We develop the mechanism of dish extraction by the NN and simulate it by using real data to show its effectiveness in practical use.
  • Keywords
    computer vision; feature extraction; health care; neural nets; patient monitoring; computer vision; dish image; feature extraction; food intake measuring system; learning conditions; neural network; Data mining; Food technology; Image converters; Image databases; Neural networks; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2002. Proceedings of the 41st SICE Annual Conference
  • Print_ISBN
    0-7803-7631-5
  • Type

    conf

  • DOI
    10.1109/SICE.2002.1196556
  • Filename
    1196556