Sciweavers

Share
ICIP
2003
IEEE

Robust object boundary determination using a locally adaptive level set algorithm

11 years 2 days ago
Robust object boundary determination using a locally adaptive level set algorithm
This paper introduces a level set methodology for the precise boundary localization of image objects within an indicated region, designed to be particularly robust against weak or spurious edges, triple points or inhomogeneity of object features in the proximity of the actual interface. The proposed technique requires a reliable classification for a subset of the object interiors, which is propagated towards the unclassified space using a competitive, statistically motivated fast marching region growing algorithm. Color and texture features are used on a locally adaptive, dynamically updated fashion to allow for the robust discrimination of inhomogeneous objects and an efficient implementation. Applications are illustrated in the context of moving object localization and semiautomatic object extraction.
Eftychios Sifakis, George Tziritas
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Eftychios Sifakis, George Tziritas
Comments (0)
books