RT Journal Article
T1 Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging
A1 Dosil Lago, Raquel
A1 Pardo López, Xosé Manuel
K1 Registration
K1 Deformable models
K1 Segmentation
K1 Anisotropic diffusion
K1 Surface patch saliency
K1 3D medical images
AB Deformable models have demonstrated to be very useful techniques for image segmentation. However, they present several weak points. Two of the main problems with deformable models are the following: (1) results are often dependent on the initial model location, and (2) the generation of image potentials is very sensitive to noise. Modeling and preprocessing methods presented in this paper contribute to solve these problems. We propose an initialization tool to obtain a good approximation to global shape and location of a given object into a 3D image. We also introduce a novel technique for corner preserving anisotropic diffusion filtering to improve contrast and corner measures. This is useful for both guiding initialization (global shape) and subsequent deformation for fine tuning (local shape).
PB Elsevier
SN 0262-8856
YR 2003
FD 2003-04-01
LK http://hdl.handle.net/10347/32690
UL http://hdl.handle.net/10347/32690
LA eng
NO Dosil, R., & Pardo, X. M. (2003). Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging. Image and Vision Computing, 21(4) (2003) 325-343.
NO This work was supported by the Spanish Government and the Xunta de Galicia by projects TIC2000-0399-C02-02 and PGIDT99PXI20606B, respectively.
DS Minerva
RD 29 abr 2026