Laplacian and orthogonal wavelet pyramid decompositions in coarse-to-fine registration

Author

Allen, Ronald L. ; Kamangar, Farhad A. ; Stokely, Ernest M.

Author_Institution

Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA

Volume

Issue

fYear

1993

fDate

12/1/1993 12:00:00 AM

Firstpage

3536

Lastpage

3541

Abstract

The authors develop orthogonal wavelet pyramid methods for registration and matching. The registration algorithm described compensates for the representation´s lack of translation invariance. It shows better performance when tested with Laplacian pyramids. For matching applications, they derive filters that directly generate coarse representations of candidates for comparison to library prototypes

Keywords

filtering and prediction theory; signal processing; wavelet transforms; Laplacian pyramid decomposition; coarse-to-fine registration; filters; library prototypes; matching; orthogonal wavelet pyramid decompositions; performance; registration algorithm; Biomedical engineering; Computer vision; Filters; Laplace equations; Multiresolution analysis; Prototypes; Signal analysis; Signal processing; Signal resolution; Wavelet analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.258092

Filename

258092

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1016120