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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

K. Hsu and M. Gruber, "Moment-Based Image Normalization With High Noise-Tolerance," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 136-139, 1997.
doi:10.1109/34.574793
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