• DocumentCode
    270128
  • Title

    Shape features based conic arcs for leaf recognition

  • Author

    Avci, Tolga ; Kökdemir, Gürsel ; Kurt, Z. ; Özkan, Kemal

  • Author_Institution
    Elektrik-Elektron., Eskisehir Osmangazi Uni, Eskişehir, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1463
  • Lastpage
    1466
  • Abstract
    The most widely used in the field of visual object recognition descriptive features are shape based features. Identify objects in the image, contour and region shape descriptors based on two main topics to be examined. In order to describe objects with lesser number of descriptors, linear or cubic curves are fitted to the contours of the objects. The end points of these finite length curves are usually meaningful spots on the contours, where these fittings are needed for the start and end points. Curves are fitted to the sub-contours between successive such descriptive points on the object contour. After fitting conic arcs according to the type of the cone defining an object in the image feature vector is obtained. Thus the object is depicted with fitted to the contour of the conic arcs and the line pieces.
  • Keywords
    object recognition; shape recognition; contour descriptors; finite length curves; image feature vector; leaf recognition; region shape descriptors; shape features based conic arcs; visual object recognition; Conferences; Fitting; Image segmentation; Pattern recognition; Shape; Signal processing; Vectors; conic arcs; contour; feature vector; meaningful point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830516
  • Filename
    6830516