Abstract | ||
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We develop a fast algorithm for segmenting 3D images from linear measurements based on the Potts model (or piecewise constant Mumford-Shah model). To that end, we first derive suitable space discretizations of the 3D Potts model, which are capable of dealing with 3D images defined on non-cubic grids. Our discretization allows us to utilize a specific splitting approach, which results in decoupled ... |
Year | DOI | Venue |
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2017 | 10.1109/TIP.2017.2716843 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Three-dimensional displays,Image segmentation,Microscopy,Graphics processing units,Image reconstruction,Solid modeling | Graphics,Computer vision,Discretization,Segmentation,Deconvolution,Image segmentation,Solid modeling,Artificial intelligence,Piecewise,Potts model,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 10 | 1057-7149 |
Citations | PageRank | References |
1 | 0.37 | 32 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin Storath | 1 | 138 | 12.69 |
Dennis Rickert | 2 | 5 | 1.16 |
Michael Unser | 3 | 28 | 5.24 |
andreas weinmann | 4 | 138 | 12.81 |