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Issue No.02 - February (1997 vol.19)
pp: 136-139
ABSTRACT
<p><b>Abstract</b>—In this paper the effects of noise with nonzero mean on existing moment-based image normalization methods are studied. Several modifications to reduce noise sensitivity are presented and tested. They involve nonlinear mapping and fractional- and negative-order moments.</p>
INDEX TERMS
Moments, image normalization, image centroid, pattern recognition, noise suppression.
CITATION
Matthias Gruber, Ken-Yuh Hsu, "Moment-Based Image Normalization With High Noise-Tolerance", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.19, no. 2, pp. 136-139, February 1997, doi:10.1109/34.574793
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