Title :
Moment-based image normalization with high noise-tolerance
Author :
Gruber, Matthias ; Hsu, Ken-Yuh
Author_Institution :
Dept. of Electro-Opt. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
2/1/1997 12:00:00 AM
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
Keywords :
interference suppression; method of moments; noise; pattern recognition; fractional moments; image centroid; image normalization; moment-based method; negative-order moments; noise sensitivity; noise suppression; noise-tolerance; nonlinear mapping; pattern recognition; Concurrent computing; Mercury (metals); Moment methods; Noise reduction; Noise robustness; Pattern recognition; Signal mapping; Testing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
