• DocumentCode
    3233434
  • Title

    A Hybrid Approach Based on Biological and Morphology Methods Used in Species Identification System

  • Author

    Wan, Sunhua ; Zhou, Yuanchun ; Yan, Baoping

  • Author_Institution
    Comput. Network Inf. Center, Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    21-24 Oct. 2010
  • Firstpage
    297
  • Lastpage
    300
  • Abstract
    There are various kinds of birds in the Qinghai Lake National Nature Reserve. In recent years, avian influenza breaks out in this region for several times. The biologists need to identify the species of birds after the discovery of infected birds. They can classify the birds according to the appearance by experience, or they can identify the birds according to the gene collected from the birds. But these two methods all lack of precision. This paper comes up with a method that integrates these two methods.
  • Keywords
    biology computing; diseases; ecology; mathematical morphology; zoology; Qinghai Lake National Nature Reserve; avian influenza; biological methods; biologists; infected bird species; morphology methods; species identification system; Accuracy; Birds; Bismuth; Databases; Image color analysis; Morphology; BLAST; KNN; Species identification; morphology; relational database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2010 First International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-8382-2
  • Type

    conf

  • DOI
    10.1109/ICNDC.2010.65
  • Filename
    5645376