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Skeletons

A skeleton is a graph that captures the branching topology of a woody plant: a set of nodes (junctions and tips) connected by edges (segments of branch). Skeletons compress thousands of points on a branch surface into a few nodes along its centerline, making them ideal for measuring lengths, counting branches, and computing topological metrics.

What gets reported

When you extract a skeleton, Phytograph reports:

  • Node count — total number of vertices in the graph
  • Edge count — total number of segments
  • Total length — sum of edge lengths (the plant's total skeleton length)
  • Branch orders — Strahler number per branch, colored from trunk (low order) to twig (high order)

Extraction method

Phytograph uses a single BFS graph method: it builds a neighbourhood graph over the cloud, roots it at the trunk base, and traces branches outward to recover the centerline and its topology.

The main controls are a Search Radius (left at 0 it auto-picks one from the cloud's density) and Min Points/Block, which sets how much support a branch needs before it's kept — raise it to suppress spurs, lower it to keep thin tips. An optional Laplace smoothing pass cleans up the result. See Extract a skeleton for the full panel.

See Extract a skeleton for the full walkthrough.

What you can do with a skeleton

Operation How
Color by branch order Right-click skeleton → Color By → Branch Order
Hide leaves / show only stem Filter by branch order range
Export as a graph Export → .json (preserves topology)
Export as line segments Export → .obj (geometry only)

Skeletons vs meshes

Both can represent a plant's structure, but they answer different questions:

Question Use
What's the total branch length? Skeleton
What's the leaf area? Mesh
How many primary branches? Skeleton
How does it look in a render? Mesh
How does branch topology change with age? Skeleton
How well does ICP align two scans? Mesh (denser, more constraints)

A common workflow: triangulate to a mesh, then extract a skeleton from the cloud (not the mesh) for analytical metrics, keeping both in the scene.