Comments (1)
Hi @qiang-zhang-neu,
I'm not sure what you mean by "3D binary mask". I guess a 2D binary mask in this context is a raster dataset, so in order to use it with this tool you can try to vectorize the raster into a feature and then apply the centerlines algorithm. I don't think this would work for a 3D dataset though.
You use the skeleton as an alternative to the Voronoi approach here? We use the networkx
package to build a temporary network graph and then calculate the longest path of all possible paths on that graph. (see https://github.com/ungarj/label_centerlines/blob/master/label_centerlines/_src.py#L66)
Then the tool smoothes the linestring by using NumPy
and a Gaussian filter on the xy coordinates: https://github.com/ungarj/label_centerlines/blob/master/label_centerlines/_src.py#L146
I guess this approach will work with a skimage skeleton as well as long as you manage to convert the skeleton into a networkx
graph.
from label_centerlines.
Related Issues (14)
- Riverbank centerlines HOT 3
- Why does it always remind me "AttributeError: 'str' object has no attribute 'geom_type'" HOT 1
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- Error while install Pacakegs HOT 1
- How do I convert a point on an edge of 255 in a binary image to a data type in this project HOT 1
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- find a better performing solution to extract best path from voronoi diagram
- Allow setting of maxnum longest paths HOT 3
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- Keep getting CenterlineError("Polygon has too few points") HOT 1
- how to run it?
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from label_centerlines.