Hypercomplex moments application in invariant image recognition / Labunets V.G., Labunets E.V., Egiazarian K., Astola J. // IEEE International Conference on Image Processing. - 1998. - V. 2, l. . - P. 257-261.

ISSN:

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Type:

Conference Paper

Abstract:

Moment invariants have found many applications in pattern recognition. The main difficulty in the application of moment invariants is their computation. The presented paper is devoted to elaboration of new methods of image invariant recognition in Euclidean and non-Euclidean 2-, 3 and n-dimensional spaces, based on the theory of Clifford hypercomplex numbers that allow to work out efficient algorithms. Algebraic invariant pattern recognition have been discussed in the literature, however the Clifford algebra based method allows a more elegant reformulation providing greater geometrical insight.

Author keywords:

Index keywords:

Algebra; Algorithms; Mathematical transformations; Pattern recognition; Clifford algebra; Moment invariant; Image analysis

DOI:

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Смотреть в Scopus:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032292212&partnerID=40&md5=525e33bc53e1258c7dc2a63332c1d9b4

Соавторы в МНС:

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Другие поля

Поле	Значение
Link	https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032292212&partnerID=40&md5=525e33bc53e1258c7dc2a63332c1d9b4
Affiliations	Ural State Technical Univ, Ekaterinburg, Russian Federation
Correspondence Address	Labunets, V.G.; Ural State Technical Univ, Ekaterinburg, Russian Federation
Sponsors	IEEE
Publisher	IEEE Comp Soc, Los Alamitos, CA, United States
Conference name	Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3)
Conference date	4 October 1998 through 7 October 1998
Conference location	Chicago, IL, USA
Conference code	49290
CODEN	85QTA
Language of Original Document	English
Abbreviated Source Title	IEEE Int Conf Image Process
Source	Scopus