Statistical pattern recognition using the Normalized Complex Moment Components vector

Paschalakis, Stavros and Lee, Peter (2000) Statistical pattern recognition using the Normalized Complex Moment Components vector. In: Ferri, F.J. and Inesta, J.M. and Amin, A. and Pudil, P., eds. Advances in Pattern Recognition Joint IAPR International Workshops SSPR 2000 and SPR 2000. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 532-539. ISBN 978-3-540-67946-2. E-ISBN 978-3-540-44522-7. (doi:10.1007/3-540-44522-6_55) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:16478)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1007/3-540-44522-6_55

Abstract

This paper presents a new feature vector for statistical pattern recognition based on the theory of moments, namely the Normalized Complex Moment Components (NCMC). The NCMC will be evaluated in the recognition of objects which share identical silhouettes using grayscale images and its performance will be compared with that of a commonly used moment based feature vector, the Hu moment invariants. The tolerance of the NCMC to random noise and the effect of using different orders of moments in its calculation will also be investigated.

Item Type:	Book section
DOI/Identification number:	10.1007/3-540-44522-6_55
Additional information:	Joint International-Association-of-Pattern-Recognition International Workshops - SSPR 2000 and SPR 2000 Univ Alicante, Alicante, Spain Aug 30-SEP 01, 2000 Int Assoc Pattern Recognit; Univ Valencia, Dept Informat
Uncontrolled keywords:	Feature Vector, Reference Vector, Statistical Pattern Recognition, Geometric Moment, Noise Tolerance
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	A. Xie
Date Deposited:	28 Aug 2009 14:25 UTC
Last Modified:	05 Nov 2024 09:51 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/16478 (The current URI for this page, for reference purposes)

University of Kent Author Information

Lee, Peter.

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