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Path reducing watershed for the GPU

Abstract:

The watershed transform is a popular image segmentation procedure from mathematical morphology used in many applications of computer vision. This paper proposes a novel parallel watershed procedure designed for GPU implementation. Our algorithm constructs paths of steepest descent and reduces these paths into direct pointers to catchment basin minima in logarithmic time, also crucially incorporating successful resolution of plateaux. Three implementation variants and their parameters are anal...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/WACV.2018.00069

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
IEEE Publisher's website
Journal:
WACV18 Journal website
Pages:
577-585
Host title:
2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
Publication date:
2018-05-07
Acceptance date:
2017-10-21
DOI:
Source identifiers:
738520
ISBN:
9781538648865
Pubs id:
pubs:738520
UUID:
uuid:3814f688-871a-4825-abcd-17454fcdc71f
Local pid:
pubs:738520
Deposit date:
2017-10-25

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