• DocumentCode
    3099734
  • Title

    Pore Feature Segmentation Based on Mathematical Morphology

  • Author

    Qi, Ueng-nian ; Feng-Nong Chen ; Ma, Ling-fei

  • Author_Institution
    Zhejiang Forestry Univ., Hangzhou
  • fYear
    2007
  • fDate
    5-8 Nov. 2007
  • Firstpage
    2474
  • Lastpage
    2477
  • Abstract
    Wood identification is a foundation of wood science and industry. The arrangement-of-pore (AOP) of wood cross-section is a important wood identification feature. The paper applies mathematical morphology methods such as dilation and erosion, open and close transform to wood cross-section image repairing, noise filtering and edge detection, thereby obtaining AOP feature. The study is a beneficial attempt to intelligent wood identification based on image processing technology.
  • Keywords
    edge detection; image segmentation; wood; dilation; edge detection; erosion; mathematical morphology; noise filtering; pore feature segmentation; wood cross-section image repairing; wood identification; Electronics industry; Feature extraction; Filtering; Forestry; Image processing; Industrial Electronics Society; Microscopy; Morphology; Notice of Violation; Wood industry; Feature extraction; Mathematical morphology; Pore; Wood identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
  • Conference_Location
    Taipei
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0783-4
  • Type

    conf

  • DOI
    10.1109/IECON.2007.4460248
  • Filename
    4460248