Twister Segment Morphological Filtering. A New Method for Live Zebrafish Embryos Confocal Images Processing

Author

Luengo-Oroz, M.A. ; Faure, E. ; Lombardot, B. ; Sance, R. ; Bourgine, P. ; Peyriéras, N. ; Santos, A.

Author_Institution

Univ. Polytech. de Madrid, Madrid

Volume

5

fYear

2007

fDate

Sept. 16 2007-Oct. 19 2007

Abstract

We propose an extension of the classical morphological filtering based on openings by line segment structuring elements. It consists in filtering a 3D+time image with the opening by all the possible rotations of a segment in the 4D space, given an initial segment and a rotation angle. The method has been applied to remove noise from confocal laser scanning microscopy images of live zebrafish embryos engineered to fluorescently label all their cell membranes.

Keywords

cellular biophysics; filtering theory; image denoising; image segmentation; medical image processing; cell membranes; confocal laser scanning microscopy; live zebrafish embryos confocal images processing; noise removal; twister segment morphological filtering; Biomedical imaging; Biomembranes; Computational efficiency; Embryo; Image processing; Image reconstruction; Image segmentation; Information filtering; Information filters; Microscopy; Biomedical image processing; image restoration; microscopy; morphological operations;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2007. ICIP 2007. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1522-4880

Print_ISBN

978-1-4244-1437-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2007.4379813

Filename

4379813