Part-based segmentation by skeleton cut space analysis

C. Feng; A.C. Jalba; A.C. Telea

doi:10.1007/978-3-319-18720-4_51

Part-based segmentation by skeleton cut space analysis

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Mathematical Morphology and its Applications to Signal and Image Processing
Subtitle of host publication	12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings
Editors	J.A. Benediktsson, J. Channusot, L. Najman, H. Talbot
Place of Publication	Dordrecht
Publisher	Springer
Pages	607-618
Number of pages	12
ISBN (Electronic)	978-3-319-18720-4
ISBN (Print)	978-3-319-18719-8
DOIs	https://doi.org/10.1007/978-3-319-18720-4_51
Publication status	Published - 2015
Event	12th International Symposium on Mathematical Morphology, ISMM 2015 - Reykjavik, Iceland Duration: 27 May 2015 → 29 May 2015 Conference number: 12

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9082
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Symposium on Mathematical Morphology, ISMM 2015
Abbreviated title	ISMM 2015
Country/Territory	Iceland
City	Reykjavik
Period	27/05/15 → 29/05/15

Keywords

Medial surfaces
Part-based segmentation
Skeletonization

Access to Document

10.1007/978-3-319-18720-4_51

Cite this

Feng, C., Jalba, A. C., & Telea, A. C. (2015). Part-based segmentation by skeleton cut space analysis. In J. A. Benediktsson, J. Channusot, L. Najman, & H. Talbot (Eds.), Mathematical Morphology and its Applications to Signal and Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings (pp. 607-618). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9082). Springer. https://doi.org/10.1007/978-3-319-18720-4_51

Feng, C. ; Jalba, A.C. ; Telea, A.C. / Part-based segmentation by skeleton cut space analysis. Mathematical Morphology and its Applications to Signal and Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings. editor / J.A. Benediktsson ; J. Channusot ; L. Najman ; H. Talbot. Dordrecht : Springer, 2015. pp. 607-618 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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{\textquoteright}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.",

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Feng, C, Jalba, AC & Telea, AC 2015, Part-based segmentation by skeleton cut space analysis. in JA Benediktsson, J Channusot, L Najman & H Talbot (eds), Mathematical Morphology and its Applications to Signal and Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9082, Springer, Dordrecht, pp. 607-618, 12th International Symposium on Mathematical Morphology, ISMM 2015, Reykjavik, Iceland, 27/05/15. https://doi.org/10.1007/978-3-319-18720-4_51

Part-based segmentation by skeleton cut space analysis. / Feng, C.; Jalba, A.C.; Telea, A.C.
Mathematical Morphology and its Applications to Signal and Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings. ed. / J.A. Benediktsson; J. Channusot; L. Najman; H. Talbot. Dordrecht: Springer, 2015. p. 607-618 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9082).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Feng C, Jalba AC, Telea AC. Part-based segmentation by skeleton cut space analysis. In Benediktsson JA, Channusot J, Najman L, Talbot H, editors, Mathematical Morphology and its Applications to Signal and Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings. Dordrecht: Springer. 2015. p. 607-618. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-18720-4_51

Part-based segmentation by skeleton cut space analysis

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