Part-based segmentation by skeleton cut space analysis

C. Feng, A.C. Jalba, A.C. Telea

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

7 Citations (Scopus)


We present a new method for part-based segmentation of voxel shapes that uses medial surfaces to define a segmenting cut at each medial voxel. The cut has several desirable properties–smoothness, tightness, and orientation with respect to the shape’s local symmetry axis, making it a good segmentation tool. We next analyze the space of all cuts created for a given shape and detect cuts which are good segment borders. Our method is robust to noise, pose invariant, independent on the shape geometry and genus, and is simple to implement. We demonstrate our method on a wide selection of 3D shapes.

Original languageEnglish
Title of host publicationMathematical Morphology and its Applications to Signal and Image Processing
Subtitle of host publication12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings
EditorsJ.A. Benediktsson, J. Channusot, L. Najman, H. Talbot
Place of PublicationDordrecht
Number of pages12
ISBN (Electronic)978-3-319-18720-4
ISBN (Print)978-3-319-18719-8
Publication statusPublished - 2015
Event12th International Symposium on Mathematical Morphology, ISMM 2015 - Reykjavik, Iceland
Duration: 27 May 201529 May 2015
Conference number: 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Symposium on Mathematical Morphology, ISMM 2015
Abbreviated titleISMM 2015


  • Medial surfaces
  • Part-based segmentation
  • Skeletonization


Dive into the research topics of 'Part-based segmentation by skeleton cut space analysis'. Together they form a unique fingerprint.

Cite this