Harmonic Active Contours for multichannel image segmentation

Details

Ressource 1Download: BIB_AE1005B6936A.P001.pdf (249.50 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_AE1005B6936A
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Title
Harmonic Active Contours for multichannel image segmentation
Title of the conference
ICIP 2011, 18th IEEE International Conference on Image Processing
Author(s)
Estellers Casas V., Zosso D., Bresson X., Thiran J.P.
Address
Brussels, Belgium September 11-14, 2011
ISBN
1522-4880
Publication state
Published
Issued date
2011
Series
Proceedings of the International Conference on Image Processing
Pages
3141-3144
Language
english
Abstract
We propose a segmentation method based on the geometric
representation of images as surfaces embedded in a higher
dimensional space, handling naturally multichannel
images. The segmentation is based on an active contour
embedded in the image manifold, along with a set of image
features. Hence, both data-fidelity and regularity terms
of the active contour are jointly optimized minimizing a
single Polaykov energy representing the hyper-surface of
this manifold. Compared to previous methods, our approach
is purely geometrical and does not require additional
weighting of the energy functional to drive the
segmentation to the image contours. The potential of such
a geometric approach lies in the general definition of
Riemannian manifolds, validating the proposed technique
for scale-space methods, volumetric data or catadioptric
images. We present here the segmentation technique called
Harmonic Active Contours, give an implementation for
multichannel images including gradient and region-based
segmentation criteria and apply it to color images.
Keywords
Active Contours, Image Segmentation, Riemannian Manifolds, lts5, lts
Create date
07/01/2014 8:11
Last modification date
20/08/2019 15:17
Usage data