• DocumentCode
    2796344
  • Title

    Ripeness level indication of bananas with visible and fluorescent spectral images

  • Author

    Intaravanne, Yuttana ; Sumriddetchkajorn, Sarun ; Nukeaw, Jiti

  • Author_Institution
    Coll. of Nanotechnol., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes and experimentally demonstrates for what is believed to be the first time a non-destructive two-dimensional ripeness level indication system for green fruits such as bananas and mangos. Our key approach is to simultaneously analyze two spectral images under white light and ultraviolet illuminations. Selected color ratios from these two images can spatially classify the whole green fruit into immature, ripe, and overripe zones. Other key features include fast response and ease of implementation.
  • Keywords
    agricultural products; image classification; image colour analysis; nondestructive testing; production engineering computing; quality control; spectral analysis; bananas; color ratios; green fruits; image spatial classification; immature fruits; light illuminations; mangos; nondestructive two-dimensional ripeness level indication system; overripe fruits; ultraviolet illuminations; visible fluorescent spectral images; Digital cameras; Estimation; Fluorescence; Image color analysis; Lighting; Mobile handsets; Spectral analysis; Banana; Image Processing; Mobile Phone; Non-Destructive Analysis; Optical Sensors; Ripeness Estimation; Spectral Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
  • Conference_Location
    Phetchaburi
  • Print_ISBN
    978-1-4673-2026-9
  • Type

    conf

  • DOI
    10.1109/ECTICon.2012.6254230
  • Filename
    6254230