TY  - JOUR
AU  - Sergio Vera
AU  - Debora Gil
AU  - Agnes Borras
AU  - Marius George Linguraru
AU  - Miguel Angel Gonzalez Ballester
ED  - Mubarak Shah
PY  - 2013//
TI  - Geometric Steerable Medial Maps
T2  - MVA
JO  - Machine Vision and Applications
SP  - 1255
EP  - 1266
VL  - 24
IS  - 6
PB  - Springer Berlin Heidelberg
KW  - Medial Representations
KW  - Medial Manifolds Comparation
KW  - Surface
KW  - Reconstruction
N2  - In order to provide more intuitive and easily interpretable representations of complex shapes/organs, medial manifolds should reach a compromise between simplicity in geometry and capability for restoring the anatomy/shape of the organ/volume. Existing morphological methods show excellent results when applied to 2D objects, but their quality drops across dimensions.This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoids degenerated medial axis segments. Second, we introduce a continuous operator for accurate and efficient computation of medial structures of arbitrary dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to syn- thetic shapes of known medial geometry. We also show its higher performance for medical imaging applications in terms of simplicity of medial structures and capability for reconstructing the anatomical volume.
SN  - 0932-8092
UR  - http://www.springer.com/computer/image+processing/journal/138
L1  - http://refbase.cvc.uab.es/files/VGB2013.pdf
UR  - http://dx.doi.org/10.1007/s00138-013-0490-4
N1  - IAM; 605.203; 600.060; 600.044
ID  - Sergio Vera2013
ER  -