DocumentCode
2399875
Title
Pattern recognition with invariance to similarity transformations based on the third-order correlation
Author
Horikawa, Yo
Author_Institution
Res. Sch. of Biol. Sci., Australian Nat. Univ., Canberra, ACT, Australia
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
200
Abstract
Invariance to similarity transformations (simultaneous shift, rotation and scaling invariance) of images based on the third-order correlation was tested on accuracy to numerical errors and on robustness to additive noise. The invariance was then applied to the estimation of the rotation angles of images
Keywords
correlation methods; fast Fourier transforms; image classification; image reconstruction; invariance; least mean squares methods; noise; pattern recognition; additive noise; numerical errors; pattern recognition; rotation angles; rotation invariance; scaling invariance; shift invariance; similarity transformations; third-order correlation; Additive white noise; Biology; Fourier transforms; Gaussian noise; Image retrieval; Information retrieval; Noise figure; Noise robustness; Pattern recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546817
Filename
546817
Link To Document