OPTIMAL SNAKE-BASED SEGMENTATION OF A RANDOM LUMINANCE TARGET ON A SPATIALLY DISJOINT BACKGROUND

Authors
GERMAIN O REFREGIER P
Citation
O. Germain et P. Refregier, OPTIMAL SNAKE-BASED SEGMENTATION OF A RANDOM LUMINANCE TARGET ON A SPATIALLY DISJOINT BACKGROUND, Optics letters, 21(22), 1996, pp. 1845-1847
Citations number
9
Categorie Soggetti
Optics
Journal title
Optics letters → ACNP
ISSN journal
01469592
Volume
21
Issue
22
Year of publication
1996
Pages
1845 - 1847
Database
ISI
SICI code
0146-9592(1996)21:22<1845:OSSOAR>2.0.ZU;2-O
Abstract
We describe a segmentation processor that is optimal for tracking the shape of a target with random white Gaussian intensity appearing on a random white Gaussian spatially disjoint background. This algorithm, b ased on an active contours model (snakes), consists of correlations of binary reference's with preprocessed versions of the scene image. Thi s result can provide a practical method to adapt the reference image t o correlation techniques. (C) 1996 Optical Society of America