• DocumentCode
    1888164
  • Title

    Ontology-based insect recognition

  • Author

    Shiguo, Huang ; Mingquan, Zhou ; Guohua, Geng ; Xiuli, Wang

  • Author_Institution
    Comput. & Inf. Coll., Fujian Agric. & Forestry Univ., Fuzhou
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    176
  • Lastpage
    178
  • Abstract
    Ontology for insect recognition is a powerful tool to express semantics of insects and to share the knowledge of insects. In this paper, the framework of ontology based insect recognition is proposed. The framework includes training layer, ontology layer and recognition layer as well as methods for communicating between different layers. The training layer includes insect image samples database, feature extraction, insect feature knowledge database, insect type knowledge database; the ontology layer includes insect image visual feature ontology, insect image media feature ontology, classification module, insect morphology and taxonomy ontology.
  • Keywords
    database management systems; feature extraction; object recognition; ontologies (artificial intelligence); pattern classification; classification module; feature extraction; includes insect image samples database; insect feature knowledge database; insect image media feature ontology; insect image visual feature ontology; insect morphology; insect type knowledge database; ontology-based insect recognition; taxonomy ontology; Feature extraction; Image databases; Image recognition; Information retrieval; Insects; Morphology; Ontologies; Spatial databases; Taxonomy; Visual databases; insect recognition; ontology; ontology layer; recognition layer; training layer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
  • Conference_Location
    Taizhou
  • Print_ISBN
    978-1-4244-3987-4
  • Type

    conf

  • DOI
    10.1109/IASP.2009.5054658
  • Filename
    5054658