A pattern detection and compression algorithm based on the joint wavelet and Radon transform

Author

Magli, E. ; Presti, L. Lo ; Olmo, G.

Author_Institution

Dipt. di Elettronica, Politecnico di Torino, Italy

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

559

Abstract

The linear feature detection task can be efficiently accomplished by means of the joint Radon transform (RT) and continuous wavelet transform (CWT) analysis. With regard to the former, a fast algorithm for its computation is described in detail, and the compression and robustness capabilities of the transform are discussed. It is found that the RT is suitable for transmission and fast detection purposes. A completely new, highly efficient CWT based algorithm, to be applied in addition to the classical thresholding methods in the Radon domain, is then discussed. The algorithm is capable to detect linear features even in the presence of large amounts of noise

Keywords

Radon transforms; data compression; feature extraction; image recognition; object recognition; transform coding; wavelet transforms; Radon domain; continuous wavelet transform; fast algorithm; joint wavelet/Radon transform; linear feature detection; object recognition; pattern compression; pattern detection; thresholding methods; Algorithm design and analysis; Compression algorithms; Computer vision; Continuous wavelet transforms; Image coding; Object detection; Pattern analysis; Satellite ground stations; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628410

Filename

628410