• DocumentCode
    2358497
  • Title

    Extraction of leaves from herbarium images

  • Author

    Henries, Dale G. ; Tashakkori, Rahman

  • Author_Institution
    Dept. of Comput. Sci., Appalachian State Univ., Boone, NC, USA
  • fYear
    2012
  • fDate
    6-8 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Detection of a leaf from the image that contains the leaf, branches, and other background material is challenging. The existing approaches for automated leaf extraction do not provide satisfactory results when the end-users provide a plant image. For such an application to be feasible, the automated leaf extraction algorithm should handle leaves of various colors, shapes, sizes, and locations within the image. This paper presents an algorithm for automating the process of extracting the possible target leaves from herbarium plant images. Our results indicate high level of accuracy for the proposed algorithm.
  • Keywords
    botany; feature extraction; object detection; automated leaf extraction; herbarium plant image; leaf detection; Algorithm design and analysis; Classification algorithms; Cleaning; Gray-scale; Image color analysis; Image segmentation; Shape; Automatic leaf detection; herbarium image leaf recognition; leaf extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2012 IEEE International Conference on
  • Conference_Location
    Indianapolis, IN
  • ISSN
    2154-0357
  • Print_ISBN
    978-1-4673-0819-9
  • Type

    conf

  • DOI
    10.1109/EIT.2012.6220752
  • Filename
    6220752