Journal article
Supervoxels for graph cuts-based deformable image registration using guided image filtering
- Abstract:
-
We propose combining a supervoxel-based image representation with the concept of graph cuts as an efficient optimization technique for three-dimensional (3-D) deformable image registration. Due to the pixels/voxels-wise graph construction, the use of graph cuts in this context has been mainly limited to two-dimensional (2-D) applications. However, our work overcomes some of the previous limitations by posing the problem on a graph created by adjacent supervoxels, where the number of nodes in ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
+ CRUK and EPSRC Cancer Imaging Centre in
Oxford
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Grant:
C5255/A16466toA.S.,B.P.,J.A.S.,
V.G
+ Research Council UK
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Grant:
Digital Economy
Programme grant number EP/G036861/1 (Oxford Centre
for Doctoral Training in Healthcare Innovation) to AH
Bibliographic Details
- Publisher:
- Society of Photo-Optical Instrumentation Engineers Publisher's website
- Journal:
- Journal of Electronic Imaging Journal website
- Volume:
- 26
- Issue:
- 6
- Article number:
- 061607
- Publication date:
- 2017-10-04
- Acceptance date:
- 2017-09-07
- DOI:
- EISSN:
-
1560-229X
- ISSN:
-
1017-9909
- Source identifiers:
-
746745
Item Description
- Keywords:
- Pubs id:
-
pubs:746745
- UUID:
-
uuid:61ac5a4d-8156-4bbf-bf38-0dbbd2feaeb4
- Local pid:
- pubs:746745
- Deposit date:
- 2017-11-22
Terms of use
- Copyright holder:
- Society of Photo-Optical Instrumentation Engineers
- Copyright date:
- 2017
- Notes:
-
Copyright © 2017 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for
personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial
purposes, or modification of the content of the paper are prohibited.
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