• DocumentCode
    3653009
  • Title

    Leaf detection application for android operating system

  • Author

    K. Deepak;A.N. Vinoth

  • Author_Institution
    DEPT OF CSE, RAJALAKSHMI ENGINEERING COLLEGE, CHENNAII, India
  • fYear
    2014
  • fDate
    4/1/2014 12:00:00 AM
  • Firstpage
    511
  • Lastpage
    517
  • Abstract
    The aim in this paper is to utilize the advancement in mobile technologies to foster knowledge on plant species around us. In this paper it is propose to develop an application to identify plant species on android platform. We use contour based edge detection for detecting the edges of the leaf from a plain white background, centroid classification is also done. The obtained feature vector should be irrespective to any scaling, rotation or translation of the contour. Usually these kind of applications in the past used Fourier descriptor to compare object contours and object silhouettes, we instead use Maximally Stable External Regions (MSER) detector and represent the external contour by FD´s. With the great deal of improvements in technological aspects of the mobile phones. These advancements can be used for better understanding of plant species. The basic purpose of Plantopedia is to provide information about common plant species in a user friendly manner. These types of applications will be handy for taxonomists and botanists who study plant species and classify them frequently.
  • Keywords
    "Lead","Androids","Humanoid robots","Image segmentation","Image edge detection","Manuals"
  • Publisher
    ieee
  • Conference_Titel
    Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCPEIC.2014.6915417
  • Filename
    6915417