Generalized affine invariant image normalization

We provide a generalized image normalization technique which basically solves all problems in image normalization. The orientation of any image can be uniquely defined by at most three non-zero generalized complex moments. The correctness of our method is demonstrated theoretically as well as in pra...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 19; no. 5; pp. 431 - 440
Main Authors Dinggang Shen, Ip, H.H.S.
Format Journal Article
LanguageEnglish
Published IEEE 01.05.1997
Subjects
Data preprocessing
Equations
Harmonic analysis
Image matching
Neural networks
Pattern analysis
Pattern recognition
Shape
Tensile stress
Testing
Online AccessGet full text

Cover

More Information
Summary:We provide a generalized image normalization technique which basically solves all problems in image normalization. The orientation of any image can be uniquely defined by at most three non-zero generalized complex 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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0162-8828
1939-3539
DOI:10.1109/34.589203