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
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;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.1980.4330884