• DocumentCode
    3585994
  • Title

    Orchid leaf disease detection using border segmentation techniques

  • Author

    Wan Mohd Fadzil, W.M.N. ; Shah Rizam, M.S.B. ; Jailani, R. ; Nooritawati, M.T.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA Shah Alam, Shah Alam, Malaysia
  • fYear
    2014
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    Nowadays, it is hard to distinguish the type of orchid leaf diseases just by using naked eyes. This paper presents an image segmentation technique for classify two difference types of orchid leaf disease such as black leaf spot and sun scorch. The orchid leaves images were digitally captured by using digital camera. With respect to the region of interest selected orchid leaves are analyze by using border segmentation techniques using MATLAB. In this paper, filtering technique and morphological processing technique will be applied to the images. The graphical user interface has been developed to automatically classify orchid diseases. The system has potential as early detection system for classify orchid diseases.
  • Keywords
    botany; filtering theory; image segmentation; mathematics computing; plant diseases; MATLAB; black leaf spot; border segmentation techniques; filtering technique; image segmentation; morphological processing technique; naked eyes; orchid leaf disease detection; sun scorch; Conferences; Control systems; Diseases; Image edge detection; Image segmentation; Process control; Sun; black leaf spot; image segmentation; morphological techniques; sun scorch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Process and Control (ICSPC), 2014 IEEE Conference on
  • Print_ISBN
    978-1-4799-6105-4
  • Type

    conf

  • DOI
    10.1109/SPC.2014.7086251
  • Filename
    7086251