Abstract
Title : A Compact and Multiscale Image Model Based on Level Sets
Author : Jacques Froment
Multiscale segmentation respectful of the visual perception is an important
issue of Computer Vision.
We present an image model derived from the level sets representation
which offers most of the properties sought to a good segmentation :
the borders are located at the perceptual edges; they are invariant by affine
map and by contrast change; they are sorted according to their perceptual
significance using a scale parameter. At last, a compact version of this
model has been developed to be used in a progressive, and artifact-free,
image compression scheme.