3D watershed based on rainfall-simulation for volume segmentation

Lee Seng Yeong; Li Minn Ang; Kah Phooi Seng

doi:10.1109/IHMSC.2009.242

3D watershed based on rainfall-simulation for volume segmentation

Lee Seng Yeong, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

This paper proposes a 3D watershed algorithm based on the 2D rainfall-simulation based watershed. It shares the same procedure of finding the steepest descending path, with the difference being the number of connectivity and the location of the neighbours. The aim of the 3D watershed is to segment out volumes from a 3D space. This kind of segmentation can be useful in areas such as medical imaging where the segmentation of the different volumes from a scan can aid doctors in patient diagnosis, advanced surgical planning and simulation, radiotherapy planning, etc.

Original language	English
Title of host publication	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Pages	477-480
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/IHMSC.2009.242
Publication status	Published - 01 Dec 2009
Event	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 - Hangzhou, Zhejiang, China Duration: 26 Aug 2009 → 27 Aug 2009

Conference

Conference	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Country/Territory	China
City	Hangzhou, Zhejiang
Period	26/08/09 → 27/08/09

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10.1109/IHMSC.2009.242

Cite this

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title = "3D watershed based on rainfall-simulation for volume segmentation",

abstract = "This paper proposes a 3D watershed algorithm based on the 2D rainfall-simulation based watershed. It shares the same procedure of finding the steepest descending path, with the difference being the number of connectivity and the location of the neighbours. The aim of the 3D watershed is to segment out volumes from a 3D space. This kind of segmentation can be useful in areas such as medical imaging where the segmentation of the different volumes from a scan can aid doctors in patient diagnosis, advanced surgical planning and simulation, radiotherapy planning, etc.",

keywords = "3D watershed, Volume segmentation",

author = "Yeong, {Lee Seng} and Ang, {Li Minn} and Seng, {Kah Phooi}",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/IHMSC.2009.242",

language = "English",

isbn = "9780769537528",

volume = "2",

pages = "477--480",

booktitle = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009",

note = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 ; Conference date: 26-08-2009 Through 27-08-2009",

}

Yeong, LS, Ang, LM & Seng, KP 2009, 3D watershed based on rainfall-simulation for volume segmentation. in 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009. vol. 2, 5335886, pp. 477-480, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009, Hangzhou, Zhejiang, China, 26/08/09. https://doi.org/10.1109/IHMSC.2009.242

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AU - Ang, Li Minn

AU - Seng, Kah Phooi

PY - 2009/12/1

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N2 - This paper proposes a 3D watershed algorithm based on the 2D rainfall-simulation based watershed. It shares the same procedure of finding the steepest descending path, with the difference being the number of connectivity and the location of the neighbours. The aim of the 3D watershed is to segment out volumes from a 3D space. This kind of segmentation can be useful in areas such as medical imaging where the segmentation of the different volumes from a scan can aid doctors in patient diagnosis, advanced surgical planning and simulation, radiotherapy planning, etc.

AB - This paper proposes a 3D watershed algorithm based on the 2D rainfall-simulation based watershed. It shares the same procedure of finding the steepest descending path, with the difference being the number of connectivity and the location of the neighbours. The aim of the 3D watershed is to segment out volumes from a 3D space. This kind of segmentation can be useful in areas such as medical imaging where the segmentation of the different volumes from a scan can aid doctors in patient diagnosis, advanced surgical planning and simulation, radiotherapy planning, etc.

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KW - Volume segmentation

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BT - 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009

T2 - 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009

Y2 - 26 August 2009 through 27 August 2009

ER -

3D watershed based on rainfall-simulation for volume segmentation

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