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@william-silversmith william-silversmith released this 29 Sep 22:56
· 97 commits to master since this release

Rapidly skeletonize all non-zero labels in 2D and 3D numpy arrays using a TEASAR derived method. A skeleton is a stick figure 1D representation of a 2D or 3D object that consists of a graph of vertices linked by edges. A skeleton where the vertices also carry a distance to the nearest boundary they were extracted from is called a "Medial Axis Transform", which Kimimaro provides.

Designed for skeletonizing neurons at high resolution, Kimimaro has special support for centering somata and fixing split nuclei from the cell body.

Kimimaro also provides a facility for piecing together skeletons from neighboring chunks with single voxel overlap to enable extremely efficient skeletonization of large objects.