Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Image Processing Year : 2014

Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint

(1) , (2) , (3) , (4)
1
2
3
4

Abstract

We propose a new method for joint segmentation of monotonously growing or shrinking shapes in a time sequence of noisy images. The task of segmenting the image time series is expressed as an optimization problem using the spatio-temporal graph of pixels, in which we are able to impose the constraint of shape growth or of shrinkage by introducing monodirectional infinite links connecting pixels at the same spatial locations in successive image frames. The globally-optimal solution is computed with a graph cut. The performance of the proposed method is validated on three applications: segmentation of melting sea ice floes and of growing burned areas from time series of 2D satellite images, and segmentation of a growing brain tumor from sequences of 3D medical scans. In the latter application, we impose an additional inter-sequences inclusion constraint by adding directed infinite links between pixels of dependent image structures.
Fichier principal
Vignette du fichier
2014_IEEETIP_Tarabalka.pdf (6 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01052543 , version 1 (28-07-2014)

Identifiers

  • HAL Id : hal-01052543 , version 1

Cite

Yuliya Tarabalka, Guillaume Charpiat, Ludovic Brucker, Bjoern Menze. Spatio-Temporal Video Segmentation with Shape Growth or Shrinkage Constraint. IEEE Transactions on Image Processing, 2014, 23 (9), pp.3829-3840. ⟨hal-01052543⟩

Collections

INRIA INRIA2
271 View
393 Download

Share

Gmail Facebook Twitter LinkedIn More