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Moment-Based Image Normalization With High Noise-Tolerance
February 1997 (vol. 19 no. 2)
pp. 136-139

Abstract—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.

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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 and Machine Intelligence, vol. 19, no. 2, pp. 136-139, Feb. 1997, doi:10.1109/34.574793
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