• DocumentCode
    1598380
  • Title

    Domain ontology based efficient image retrieval

  • Author

    Singh, Priyamvada ; Goudar, R.H. ; Rathore, Rohit ; Srivastav, Anubhav ; Rao, Sreenivasa

  • Author_Institution
    Department of IT, College of Engineering, Roorkee, India
  • fYear
    2013
  • Firstpage
    445
  • Lastpage
    452
  • Abstract
    This paper presents the implementation of an efficient retrieval system for medical images. By combining ontology with the use of low level feature extraction we were able to retrieve meaningful information from the knowledge base. We also successfully bridged the gap between the low level feature and the high level semantics by applying the image processing technique to extract the low level features and associate those with the required custom made feature based domain ontology. The implemented system gives the list of URI´s of the Electronic Health Record of the patients giving both the medical details as well as the image properties (of medical images related to their records).
  • Keywords
    Biomedical imaging; Context; Databases; Image segmentation; Standards; User interfaces; Context Based Medical Image Retrieval (CBMIR); Image Retrieval; Low Level Features; Medical Images; Ontology; Region Based Image Retrieval (RBIR); Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Control (ISCO), 2013 7th International Conference on
  • Conference_Location
    Coimbatore, Tamil Nadu, India
  • Print_ISBN
    978-1-4673-4359-6
  • Type

    conf

  • DOI
    10.1109/ISCO.2013.6481196
  • Filename
    6481196