Geometry motivated variational segmentation for color images

Alexander Brook; Ron Kimmel; Nir A. Sochen

doi:10.1007/3-540-47778-0_34

Geometry motivated variational segmentation for color images

Alexander Brook, Ron Kimmel, Nir A. Sochen

School of Mathematical Sciences

Technion-Israel Institute of Technology

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

6 Scopus citations

Abstract

We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/for color figures.

Original language	English
Title of host publication	Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings
Editors	Michael Kerckhove
Publisher	Springer Verlag
Pages	362-370
Number of pages	9
ISBN (Electronic)	9783540423171
DOIs	https://doi.org/10.1007/3-540-47778-0_34
State	Published - 2001
Event	3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001 - Vancouver, Canada Duration: 7 Jul 2001 → 8 Jul 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2106
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001
Country/Territory	Canada
City	Vancouver
Period	7/07/01 → 8/07/01

Access to Document

10.1007/3-540-47778-0_34

Cite this

Brook, A., Kimmel, R., & Sochen, N. A. (2001). Geometry motivated variational segmentation for color images. In M. Kerckhove (Ed.), Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings (pp. 362-370). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2106). Springer Verlag. https://doi.org/10.1007/3-540-47778-0_34

Brook, Alexander ; Kimmel, Ron ; Sochen, Nir A. / Geometry motivated variational segmentation for color images. Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. editor / Michael Kerckhove. Springer Verlag, 2001. pp. 362-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{7ab6fa1126054141a84b56c6175d2f1a,

title = "Geometry motivated variational segmentation for color images",

abstract = "We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/for color figures.",

author = "Alexander Brook and Ron Kimmel and Sochen, {Nir A.}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag and IEEE/CS 2001.; 3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001 ; Conference date: 07-07-2001 Through 08-07-2001",

year = "2001",

doi = "10.1007/3-540-47778-0_34",

language = "אנגלית",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "362--370",

editor = "Michael Kerckhove",

booktitle = "Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings",

}

Brook, A, Kimmel, R & Sochen, NA 2001, Geometry motivated variational segmentation for color images. in M Kerckhove (ed.), Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2106, Springer Verlag, pp. 362-370, 3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001, Vancouver, Canada, 7/07/01. https://doi.org/10.1007/3-540-47778-0_34

Geometry motivated variational segmentation for color images. / Brook, Alexander; Kimmel, Ron; Sochen, Nir A.
Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. ed. / Michael Kerckhove. Springer Verlag, 2001. p. 362-370 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2106).

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

TY - GEN

T1 - Geometry motivated variational segmentation for color images

AU - Brook, Alexander

AU - Kimmel, Ron

AU - Sochen, Nir A.

PY - 2001

Y1 - 2001

N2 - We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/for color figures.

AB - We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/for color figures.

UR - http://www.scopus.com/inward/record.url?scp=81055146267&partnerID=8YFLogxK

U2 - 10.1007/3-540-47778-0_34

DO - 10.1007/3-540-47778-0_34

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:81055146267

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 362

EP - 370

BT - Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings

A2 - Kerckhove, Michael

PB - Springer Verlag

T2 - 3rd International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001

Y2 - 7 July 2001 through 8 July 2001

ER -

Brook A, Kimmel R, Sochen NA. Geometry motivated variational segmentation for color images. In Kerckhove M, editor, Scale-Space and Morphology in Computer Vision - 3rd International Conference, Scale-Space 2001, Proceedings. Springer Verlag. 2001. p. 362-370. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-47778-0_34

Geometry motivated variational segmentation for color images

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this