Title :
Recognitive Aspects of Moment Invariants
Author :
Abu-Mostafa, Yaser S. ; Psaltis, Demetri
Author_Institution :
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Abstract :
Moment invariants are evaluated as a feature space for pattern recognition in terms of discrimination power and noise tolerance. The notion of complex moments is introduced as a simple and straightforward way to derive moment invariants. Through this relation, properties of complex moments are used to characterize moment invariants. Aspects of information loss, suppression, and redundancy encountered in moment invariants are investigated and significant results are derived. The behavior of moment invariants in the presence of additive noise is also described.
Keywords :
Additive noise; Helium; Image analysis; Image recognition; Information theory; Noise robustness; Pattern analysis; Pattern recognition; Performance analysis; Redundancy; Circular harmonics; complex moments; feature space; image analysis; information theory; moment invariants; pattern recognition;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1984.4767594
