• DocumentCode
    1623842
  • Title

    Fynbos leaf online plant recognition application

  • Author

    Winberg, Simon ; Katz, Sarah ; Mishra, Akhilesh Kumar

  • Author_Institution
    Univ. of Cape Town, Cape Town, South Africa
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Computer-aided plant identification combines computer vision and pattern recognition. The Cape Floristic Kingdom is the most varied of plant kingdoms, comprising thousands of species of fynbos plants. While it is easier to classify fynbos when they are flowering, mostly flower for only a few weeks in a year. This paper concerns an image processing application for automatic identification of certain fynbos using leaf photographs. The architecture of this application is overviewed prior to focusing on the leaf recognition operations, and how these were experimentally tested using a series of experiments, culminating in a comprehensive test to measure identification accuracy, effectiveness of the online user interface, and the processing speed. Our conclusions reflect on the overall effectiveness of the application and our plans to take it further.
  • Keywords
    automatic optical inspection; botany; computer aided engineering; computer vision; image classification; user interfaces; Cape Floristic Kingdom; automatic fynbos identification accuracy; computer vision; computer-aided plant identification; fynbos classification; fynbos leaf online plant recognition application; image pocessing method; leaf photographs; online user interface; pattern recognition; plant kingdoms; Accuracy; Cities and towns; Databases; Feature extraction; Shape; Testing; computer vision; digital morphological features; fynbos; image procesing; leaf database; plant recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
  • Conference_Location
    Jodhpur
  • Print_ISBN
    978-1-4799-1586-6
  • Type

    conf

  • DOI
    10.1109/NCVPRIPG.2013.6776220
  • Filename
    6776220