Radial Moment Invariants for Attribute Filtering in 3D

  • Fred N. Kiwanuka
  • Michael H. F. Wilkinson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7346)

Abstract

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.

Keywords

Moment invariants shape description connected filters attribute filters 3D medical imaging 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fred N. Kiwanuka
    • 1
    • 2
  • Michael H. F. Wilkinson
    • 1
  1. 1.Institute for Mathematics and Computing ScienceUniversity of GroningenGroningenNetherlands
  2. 2.Faculty of Computing and Information TechnologyMakerere UniversityKampalaUganda

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