Automatic registration of serial sections using a wavelet-based multiresolution approach [biological specimens application]

Author

Deubler, J. ; Bastian, T. ; Boulin, C. ; Olivo, J.-C.

Author_Institution

Eur. Molecular Biol. Lab., Heidelberg, Germany

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

383

Abstract

Presents a method based on orthogonal wavelet pyramids for registration of serial cross-section images presenting global and local distortions. The image registration process is performed by exploiting a multi-level, multi-image approach whereby the wavelet subband images at different levels are used in a non-feature-based way to determine the motion vectors between the reference and the target images

Keywords

biological techniques; biology computing; image registration; motion estimation; wavelet transforms; automatic registration; biological specimens; global distortions; local distortions; motion vectors determination; multi-image approach; non-feature-based way; orthogonal wavelet pyramids-based method; reference images; serial sections; target images; wavelet subband images; wavelet-based multiresolution approach; Biophysics; Cells (biology); Discrete wavelet transforms; Feature extraction; Image registration; Image resolution; Laboratories; Modems; Motion estimation; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575161

Filename

575161