• DocumentCode
    245271
  • Title

    Identifying leaves with watershed and CSS: Implementation of segmentation and object matching

  • Author

    Su, Joey C. ; Po-Yuan Su ; Wei-Yang Lin

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    147
  • Lastpage
    148
  • Abstract
    This article looks at combining the Curvature Scale Space (CSS) shape matching algorithm and the Watershed Algorithm with the aim of creating a simple yet effective leaf identification software. The CSS shape matching algorithm solves the problems of: Leaf self-intersection - Parts of a leaf overlap. ; Leaf rotation - Images that are rotated. ; Leaf variation - No two leaves are the same. The Watershed Algorithm provides an effective way of segmenting a leaf from a non-ideal background, which provides a method of creating pristine binary images. The result is a leaf identification software that has good accuracy, the ability to deal with non-ideal backgrounds, and large room for improvement.
  • Keywords
    image colour analysis; image segmentation; object detection; CSS shape matching algorithm; binary images; curvature scale space shape matching algorithm; leaf identification software; leaf overlap; leaf rotation; leaf self-intersection; leaf variation; object matching; watershed algorithm; Cascading style sheets; Correlation; Image color analysis; Image segmentation; Shape; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2014.6904029
  • Filename
    6904029