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Author Reiss, T.H.
Sponsorship IEEE Computer Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1979
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Pattern recognition ♦ Image analysis ♦ Stochastic processes ♦ Image recognition ♦ Parameter estimation ♦ Lighting ♦ Feature extraction ♦ Signal processing ♦ Power engineering and energy ♦ Machine intelligence
Abstract A revised fundamental theorem of moment invariants for pattern recognition which corrects the fundamental theorem proposed by M.K. Hu (1962), is presented. The correction affects neither similitude (scale) nor rotation invariants derived using the original theorem, but it does affect features invariant to general linear transformations. Four of the latter invariants were presented originally by Hu. These are revised to take the correction to the fundamental theorem into account. Furthermore, these four invariants are combined to yield three new invariants, which are additionally invariant to changes in the illumination of an image.<<ETX>>
Description Author affiliation :: Dept. of Eng., Cambridge Univ., UK
ISSN 01628828
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1991-08-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 13
Issue Number 8
Size (in Bytes) 409.88 kB
Page Count 5
Starting Page 830
Ending Page 834

Source: IEEE Xplore Digital Library