Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

Invariants to symmetrical convolution with application to dihedral kernel symmetry

Boldyš Jiří, Flusser Jan

: Image Analysis and Processing – ICIAP 2013, p. 369-378 , Eds: Petrosino A.

: Image Analysis and Processing – ICIAP 2013, (Neapol, IT, 11.09.2013-13.09.2013)

: GAP103/11/1552, GA ČR

: moment invariants, dihedral symmetry, symmetrical blur

: 10.1007/978-3-642-41184-7_38

: http://library.utia.cas.cz/separaty/2013/ZOI/boldys-0397178.pdf

(eng): We derive invariants to convolution with a symmetrical kernel in an arbitrary dimension. They are expressed in the Fourier domain as a ratio of the Fourier transform and of the symmetrical projection of the Fourier transform. In 2D and for dihedral symmetries particularly, we newly express the invariants as moment forms suitable for practical calculations. We clearly demonstrate on real photographs, that all the derived invariants are irreplaceable in pattern recognition. We further demonstrate their invariance and discriminability. We expect there is potential to use these invariants also in other fields, including microscopy.

: BD

2019-01-07 08:39