• DocumentCode
    3045975
  • Title

    Index and Recognition for the Shape Contour of Plant Leaves

  • Author

    Liu, Xun ; Hou, Keyi ; Wang, Liliang ; Liu, Ping

  • Author_Institution
    Comput. Coll., Sichuan Univ., Chengdu, China
  • Volume
    4
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    436
  • Lastpage
    440
  • Abstract
    Content-based image retrieval methods are used to construct systems to retrieve and classify plants´ leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image. The work we have finished includes in the process of choosing feature and using numerical sequence of image features to solve the question about the irrespective of image featurepsilas circumrotating transformation. In the design process, we adopt general content-based image retrieval framework. So, result of this paper is used to plant leavespsila classifying and recognizing.
  • Keywords
    content-based retrieval; feature extraction; image classification; image matching; image retrieval; image sequences; shape recognition; content-based image retrieval method; feature extraction; fuzzy matching veracity; image feature circumrotating transformation; image feature sequence; plant leaf index; plant leave classification; shape recognition; Content based retrieval; Educational institutions; Feature extraction; Image databases; Image matching; Image recognition; Image retrieval; Intelligent systems; Process design; Shape; KMP fuzzy matching algorithm; mountain climbing sequence images; plant leaf index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.126
  • Filename
    5209245