medial op• Data kinds: voxel → voxel
• Call: import fullseye as fs; fs.ledger.vol_distance_transform(vol_binary, spacing=None) (implementation को सीधे call करना हो तो import volops; volops.vol_distance_transform(vol_binary, spacing=None), registry से लेना हो तो ops3d.get("vol_distance_transform"))
• GPU: हाँ (allow-list का mechanical GPU path, CuPy)। device="auto" मापे गए आकार (16,777,216 pixel) और उससे बड़े पर GPU चुनता है
binary volume का exact Euclidean distance transform।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
Each foreground (non-zero) voxel is labelled with its Euclidean distance to the nearest background voxel, via scipy.ndimage.distance_transform_edt. Pass *spacing* (sz, sy, sx) (e.g. VolumeMeta.spacing_mm, or the VolumeMeta itself) to make the distance anisotropy-aware — millimetres rather than voxels; otherwise unit spacing is assumed. A non-{0, 1} input is thresholded at > 0.5.
Returns a (D, H, W) float64 distance field (0 on the background). Outside the volume is not background (a foreground slab touching the edge keeps growing towards it). With no background voxel at all the nearest background is infinitely far: every voxel is inf (the 2-D distance_transform returns its normalised maximum 1.0 in the same case). This op returns absolute distances, so the 2-D convention (normalise to 1.0) does not carry over; inf was chosen over raising so that a mixed batch keeps its shape. Dividing by the maximum afterwards gives NaN — check np.isinf first.
Reference: Felzenszwalb & Huttenlocher, Theory of Computing 2012.
Empty input (vol_binary with 0 elements) raises ValueError.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• medial_topology — py -3.11 examples_3d/medial_topology.py
• molecule_atom_count — py -3.11 examples_3d/molecule_atom_count.py
• nearest_seed_partition — py -3.11 examples_3d/nearest_seed_partition.py
• vessel_metrology — py -3.11 examples_3d/vessel_metrology.py
voxel को input के रूप में लेते हैं)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
medial)distance_ridge · skeletonize_vol · medial_axis_points · topology_signature · medial_match · skeleton_junctions3d · skeleton_endpoints3d · skeleton_prune3d
*Provenance: volops.py — 3D operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.