Generalized affine invariant image normalization

Dinggang Shen; Horace H.S. Ip

doi:10.1109/34.589203

Generalized affine invariant image normalization

Dinggang Shen, Horace H.S. Ip

Department of Brain and Cognitive Engineering

Research output: Contribution to journal › Article

82 Citations (Scopus)

Abstract

We provide a generalized image normalization technique which basically solved all problems in image normalization. The orientation of any image can be uniquely defined by at most three non-zero generalized complex (GC) moments. The correctness of our method is demonstrated theoretically as well as in practice by applying them to a number of "degenerate" images which have failed other previously reported techniques for image normalization.

Original language	English
Pages (from-to)	431-440
Number of pages	10
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	19
Issue number	5
DOIs	https://doi.org/10.1109/34.589203
Publication status	Published - 1997 Dec 1

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Keywords

Complex moment
Fold detection
Image normalization
Image orientation
Invariant image matching
Rotationally symmetric image
Symmetry detection

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics

Cite this

Shen, D., & Ip, H. H. S. (1997). Generalized affine invariant image normalization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(5), 431-440. https://doi.org/10.1109/34.589203

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Access to Document

10.1109/34.589203