boundary op• Data kinds: voxel → voxel
• Call: import fullseye as fs; fs.ledger.vol_boundary(vol_binary, connectivity=6, side='inner') (implementation को सीधे call करना हो तो import volops; volops.vol_boundary(vol_binary, connectivity=6, side='inner'), registry से लेना हो तो ops3d.get("vol_boundary"))
binary volume का boundary shell (3-D region_boundary)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
side='inner' keeps the foreground voxels that touch background:
mask & ~erode(mask). side='outer' keeps the background voxels that touch foreground: dilate(mask) & ~mask. *connectivity* (6/18/26) decides which neighbours count as "touching" — 6 uses face neighbours only (the thinnest shell); 26 also counts a diagonal background contact, so shells at convex corners come out thicker. The volume border counts as background for the *inner* shell (a mask reaching the border has a boundary there — the same convention as the surface-area estimate in vol_region_props); the *outer* shell can only occupy voxels that exist, so a mask filling the whole volume has an empty outer boundary.
A solid region's interior drops out entirely: the shell of a solid ball of radius r voxels is roughly a 3/r fraction of it (surface over volume), so the saving grows with size — which is exactly why boundary representations (and vol_boundary_points) are the memory-frugal way to hand a shape to the point-cloud / metrology operators.
Returns a (D, H, W) float64 {0, 1} volume (chainable into vol_label, vol_boundary_points, ...).
• 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।
• roi_domain_boundary — py -3.11 examples_3d/roi_domain_boundary.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
boundary)*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.