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Run a contour-detection algorithm (likely one is biased to form closed contours)
Invert the image to obtain the connected digital sets
For each connected digital set, choose some strategy to select seeds in the interior (foreground) and in the outer (background) of the set.
Run the graph-flow for each connected digital set
An alternative to that:
Create an hierarchy (watershed segmentation)
Pick some nodes of the hierarchy to execute graph-flow
Select the best graph-flow result
The data term may be defined like this: For the closed areas, select random seeds and compute a mixed gauss distribution (similar to classical graph cut)
The text was updated successfully, but these errors were encountered:
A naive implementation could be the following:
An alternative to that:
The data term may be defined like this: For the closed areas, select random seeds and compute a mixed gauss distribution (similar to classical graph cut)
The text was updated successfully, but these errors were encountered: