• DocumentCode
    2862633
  • Title

    Plant leaf classification using plant leaves based on rough set

  • Author

    Zhang, Shanwen ; Feng, Youqian

  • Author_Institution
    Dept. of Eng. & Technol., Xijing Univ., Xi´´an, China
  • Volume
    15
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Plant classification using plant leaves has been an important and difficult task. The key question in plant classification is extraction features and reduction features. In this paper, a method of plant leaf classification is proposed based on the neighborhood rough set. We mainly show that the is applicable to plant leaf classification. Experimental results on plant leaf image database demonstrate that the proposed method is effective and feasible for leaf classification.
  • Keywords
    feature extraction; image classification; rough set theory; visual databases; feature extraction; image database; plant leaf classification; rough set; Area measurement; Correlation; Attribute reduction; Forward attribute reduction based on neighborhood model (FARNeM); Leaf classification; Neighborhood rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622528
  • Filename
    5622528