id: 06104076
dt: a
an: 06104076
au: Kiwanuka, Fred N.; Wilkinson, Michael H.F.
ti: Radial moment invariants for attribute filtering in 3D.
so: Köthe, Ullrich (ed.) et al., Applications of discrete geometry and
    mathematical morphology. First international workshop, WADGMM 2010,
    Istanbul, Turkey, August 22, 2010. Revised selected papers. Berlin:
    Springer (ISBN 978-3-642-32312-6/pbk). Lecture Notes in Computer
    Science 7346, 68-81 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: moment invariants; shape description; connected filters; attribute filters;
    3D medical imaging
ci: 
li: doi:10.1007/978-3-642-32313-3_5
ab: Summary: The edge or shape preservation property of connected attribute
    filters is a desirable feature for biomedical imaging and makes them a
    suitable tool for problems in which accurate shape analysis is of
    importance. However, there are still comparatively few attributes for
    3D filtering upon which to select features of interest besides,
    efficient and fast computation of attributes from volumetric data is
    still a daunting challenge. In particular, whereas a vast literature on
    2D moment invariants exist, far fewer 3D moment invariants are
    available. In this study we introduce a new, radial-moment based
    roundness attribute in 3D, and provide a memory-efficient algorithm to
    compute it, even for very high moment orders. It satisfies similarity
    transformations of translation, rotation and scaling invariance and be
    generalised to higher order moments without performance degradation. We
    show the utility of the new attribute in the isolation of kidney stones
    and other structures in 3D CT and MRI images.
rv: