• DocumentCode
    1962213
  • Title

    A method for regional feature extraction of flower images

  • Author

    Pei, Yong ; Cao, Weiqun

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Forestry Univ., Beijing, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    The classification of flowering plants is a significant part of plant taxonomy. Automatic recognition of flowers using computer technology is of great social benefits. We analyze the features and disadvantages of existing methods, and propose a regional feature extraction method based on the shape characteristics of flowers. Since most flowers bloom radially and provide centrosymmetric features for their images, we therefore divide each flower image into several feature-ring regions and define their correspond features according to the information contained in them. Experimental results show that a feature system that can effectively distinguish flowers could be established on the basis of the features of flower images extracted through the proposed method, with which a high classification and recognition fidelity of flowering plants can be reached.
  • Keywords
    botany; feature extraction; image classification; automatic recognition; centrosymmetric feature; feature-ring region; flower images; flowering plants classification; plant taxonomy; regional feature extraction; shape characteristic; Feature extraction; Image color analysis; Image recognition; Image segmentation; Pattern recognition; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7047-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2010.5565245
  • Filename
    5565245