Surface-Area-Based Attribute Filtering in 3D

F.N. Kiwanuka, G.K. Ouzounis, M.H.F. Wilkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Abstract

In this paper we describe a rotation-invariant attribute filter based on estimating the sphericity or roundness of objects by efficiently computing surface area and volume of connected components. The method is based on an efficient algorithm to compute all iso-surfaces of all nodes in a Max-Tree. With similar properties to moment-based attributes like sparseness, non-compactness, and elongation, our sphericity attribute can supplement these in finding blood-vessels in time-of-flight MR angiograms. We compare the method to a discrete surface area method based on adjacency, which has been used for urinary stone detection. Though the latter is faster, it is less accurate, and lacks rotation invariance.

Original languageEnglish
Title of host publicationMATHEMATICAL MORPHOLOGY AND ITS APPLICATION TO SIGNAL AND IMAGE PROCESSING
EditorsMHF Wilkinson, JBTM Roerdink
Place of PublicationBERLIN
PublisherSpringer
Pages70-81
Number of pages12
ISBN (Print)978-3-642-03612-5
Publication statusPublished - 2009
Event9th International Symposium on Mathematical Morphology - , Netherlands
Duration: 24-Aug-200927-Aug-2009

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume5720
ISSN (Print)0302-9743

Other

Other9th International Symposium on Mathematical Morphology
Country/TerritoryNetherlands
Period24/08/200927/08/2009

Keywords

  • CONNECTED OPERATORS
  • OPENINGS
  • IMAGES
  • TREE

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