• DocumentCode
    848776
  • Title

    Digital Filtering and Edge Detection Algorithms for Nuclear Medicine Images

  • Author

    Cahill, P.T. ; Ho, S.L. ; Knowles, R.J.R.

  • Author_Institution
    Polytechnic Institute of New York, Brooklyn, N. Y. 11201 and New York Hospital-Cornell University Medical Center, N. Y.,N. Y. 10021 and Long Island College Hospital, Brooklyn, N. Y. 11201
  • Volume
    27
  • Issue
    1
  • fYear
    1980
  • Firstpage
    537
  • Lastpage
    540
  • Abstract
    Several edge detection algorithms were compared. The nearest neighbor algorithm (NNA) was shown to be superior to the other methods. The NNA was then used to evaluate the effects of nine common digital filters. It was shown that high pass filters improve relative constrast at the expense of edge definition. Furthermore, low pass filters only improve edge detection in the limit of low signal to noise ratios. Finally, all filters tested significantly distorted area relationships and perimeter contours.
  • Keywords
    Cameras; Digital filters; Filtering algorithms; Image edge detection; Imaging phantoms; Low pass filters; Magnetic separation; Nearest neighbor searches; Nuclear medicine; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.1980.4330884
  • Filename
    4330884