By Topic

Digital Filtering and Edge Detection Algorithms for Nuclear Medicine Images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
P. T. Cahill ; 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 ; S. L. Ho ; R. J. R. Knowles

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.

Published in:

IEEE Transactions on Nuclear Science  (Volume:27 ,  Issue: 1 )