• DocumentCode
    3431084
  • Title

    Automatic recognition of blooming flowers

  • Author

    Saitoh, Takeshi ; Aoki, Kimiya ; Kaneko, Toyohisa

  • Author_Institution
    Toyohashi Univ. of Technol., Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    27
  • Abstract
    This paper describes an automatic method for recognizing a blooming flower based on a photograph taken with a digital camera in natural scene. The problem of identifying an object against the background is known to be difficult. In this paper, we employ a photograph where the object (a blooming flower) is focused but the background is defocused. For extracting a flower region, we propose a new method that extracts a boundary by selecting a route with minimizing a sum of the local cost divided by the route length. Experiments were conducted for 600 pictures (20 pictures each for 30 species). A successful boundary extraction rate of 97% and a flower recognition rate of 90% were obtained.
  • Keywords
    feature extraction; image colour analysis; natural scenes; object recognition; photography; automatic recognition; blooming flower recognition; boundary extraction rate; cost minimization; digital camera; flower recognition rate; flower region extraction; object identification; photograph; Content based retrieval; Costs; Digital cameras; Dynamic programming; Focusing; Layout; Pattern recognition; Search methods; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333997
  • Filename
    1333997