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A Variational Framework for Joint Segmentation and Registration
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Institution: |
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA |
Publisher: |
Mathematical Methods in Biomedical Image Analysis, MMBIA 2001 |
Publication Date: |
Dec-2001 |
Citation: |
IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. 2001; |
Appears in Collections: |
SPL |
Generated Citation: |
Yezzi A., Zöllei L., Kapur T. A Variational Framework for Joint Segmentation and Registration. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. 2001; |
| Downloaded: | 897 times. [view map] |
| Paper: | Download, View online |
| Export citation: |
Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image. To the best of our knowledge, this is the first attempt at interleaving segmentation and registration in such a framework.
Additional Material
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Yezzi-MMBIA2001-fig3.jpg (275.298kB)