Generic R-transform for invariant pattern representation

Author

Hoang, Thai V. ; Tabbone, Salvatore

Author_Institution

LORIA, Univ. Nancy 2, Vandœuvre-lès-Nancy, France

fYear

2011

fDate

13-15 June 2011

Firstpage

157

Lastpage

162

Abstract

The beneficial properties of the Radon transform make it an useful intermediate representation for the extraction of invariant features from pattern images for the purpose of indexing/matching. This paper revisits the problem with a generic view on a popular Radon-based pattern descriptor, the R-signature, bringing in a class of descriptors spatially describing patterns at all the directions and at different levels. The domain of this class and the selection of its representative are also discussed. Theoretical arguments validate the robustness of the generic R-signature to additive noise and experimental results show its effectiveness.

Keywords

Radon transforms; feature extraction; image matching; image representation; Radon transform; Radon-based pattern descriptor; additive noise; generic R-signature; generic R-transform; image indexing; image matching; intermediate representation; invariant feature extraction; invariant pattern representation; Additive noise; Feature extraction; Noise measurement; Quantization; Robustness; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Multimedia Indexing (CBMI), 2011 9th International Workshop on

Conference_Location

Madrid

ISSN

1949-3983

Print_ISBN

978-1-61284-432-9

Electronic_ISBN

1949-3983

Type

conf

DOI

10.1109/CBMI.2011.5972538

Filename

5972538