• DocumentCode
    3061000
  • Title

    A comparison of two methods for retrieval of medical images in the compressed domain

  • Author

    Schaefer, Gerald ; Starosolski, Roman

  • Author_Institution
    School of Engineering and Applied Science, Aston University, Birmingham, U.K.
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    402
  • Lastpage
    405
  • Abstract
    Retrieval of images based on features derived directly from the images provides a useful way of accessing medical imagery. While most of these techniques operate in the pixel domain, a more efficient approach is to perform retrieval directly in the compressed domain of images. In this paper we look at two different methods for such compressed-domain retrieval of medical images. Both algorithms are based on wavelet image compression such as the one used in the JPEG2000 standard. We compare the effectiveness of the two techniques based on a database of 400 medical infrared images.
  • Keywords
    Biomedical imaging; Frequency; Histograms; Image coding; Image databases; Image resolution; Image retrieval; Infrared imaging; Transform coding; Wavelet transforms; Algorithms; Data Compression; Database Management Systems; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Radiology Information Systems; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649175
  • Filename
    4649175