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Issue No.09 - September (2000 vol.22)
pp: 1050-1055
ABSTRACT
<p><b>Abstract</b>—We study implementation issues for spatial convolution filters and their Fourier alternative, with the aim to optimize the accuracy of filter output. We focus on Gaussian scale-space filters and show that there exists a trade-off scale that subdivides the available scale range into two subintervals of equal length. Below this trade-off scale Fourier filtering yields more accurate results than spatial filtering; above it is the other way around. This should be contrasted with demands of computational speed, which show the opposite tenet.</p>
INDEX TERMS
Scale-space filtering, temporal versus frequency aliasing, time-frequency trade-off scale.
CITATION
Luc Florack, "A Spatio-Frequency Trade-Off Scale for Scale-Space Filtering", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.22, no. 9, pp. 1050-1055, September 2000, doi:10.1109/34.877526
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