A noise tolerant watershed transformation with viscous force for seeded image segmentation

Di Yang; Stephen Gould; Marcus Hutter

doi:10.1007/978-3-642-37331-2_58

A noise tolerant watershed transformation with viscous force for seeded image segmentation

Di Yang^*
, Stephen Gould
, Marcus Hutter

^*Corresponding author for this work

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

Abstract

The watershed transform was proposed as a novel method for image segmentation over 30 years ago. Today it is still used as an elementary step in many powerful segmentation procedures. The watershed transform constitutes one of the main concepts of mathematical morphology as an important region-based image segmentation approach. However, the original watershed transform is highly sensitive to noise and is incapable of detecting objects with broken edges. Consequently its adoption in domains where imaging is subject to high noise is limited. By incorporating a high-order energy term into the original watershed transform, we proposed the viscous force watershed transform, which is more immune to noise and able to detect objects with broken edges.

Original language	English
Title of host publication	Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers
Pages	775-789
Number of pages	15
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-37331-2_58
Publication status	Published - 2013
Event	11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, Korea, Republic of Duration: 5 Nov 2012 → 9 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7724 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th Asian Conference on Computer Vision, ACCV 2012
Country/Territory	Korea, Republic of
City	Daejeon
Period	5/11/12 → 9/11/12

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10.1007/978-3-642-37331-2_58

Cite this

Yang, D., Gould, S., & Hutter, M. (2013). A noise tolerant watershed transformation with viscous force for seeded image segmentation. In Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers (PART 1 ed., pp. 775-789). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7724 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-37331-2_58

Yang, Di ; Gould, Stephen ; Hutter, Marcus. / A noise tolerant watershed transformation with viscous force for seeded image segmentation. Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2013. pp. 775-789 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

@inproceedings{796207c6391b4fe985731407e4c1bc4b,

title = "A noise tolerant watershed transformation with viscous force for seeded image segmentation",

abstract = "The watershed transform was proposed as a novel method for image segmentation over 30 years ago. Today it is still used as an elementary step in many powerful segmentation procedures. The watershed transform constitutes one of the main concepts of mathematical morphology as an important region-based image segmentation approach. However, the original watershed transform is highly sensitive to noise and is incapable of detecting objects with broken edges. Consequently its adoption in domains where imaging is subject to high noise is limited. By incorporating a high-order energy term into the original watershed transform, we proposed the viscous force watershed transform, which is more immune to noise and able to detect objects with broken edges.",

author = "Di Yang and Stephen Gould and Marcus Hutter",

year = "2013",

doi = "10.1007/978-3-642-37331-2\_58",

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

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booktitle = "Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers",

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Yang, D, Gould, S & Hutter, M 2013, A noise tolerant watershed transformation with viscous force for seeded image segmentation. in Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7724 LNCS, pp. 775-789, 11th Asian Conference on Computer Vision, ACCV 2012, Daejeon, Korea, Republic of, 5/11/12. https://doi.org/10.1007/978-3-642-37331-2_58

A noise tolerant watershed transformation with viscous force for seeded image segmentation. / Yang, Di; Gould, Stephen; Hutter, Marcus.
Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers. PART 1. ed. 2013. p. 775-789 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7724 LNCS, No. PART 1).

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

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Yang D, Gould S, Hutter M. A noise tolerant watershed transformation with viscous force for seeded image segmentation. In Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers. PART 1 ed. 2013. p. 775-789. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-37331-2_58

A noise tolerant watershed transformation with viscous force for seeded image segmentation

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