vol_euler_number — 3D feature op

• Data kinds: voxel → measurement

• Call: import fullseye as fs; fs.ledger.vol_euler_number(vol_binary, connectivity=26) (implementation को सीधे call करना हो तो import volops; volops.vol_euler_number(vol_binary, connectivity=26), registry से लेना हो तो ops3d.get("vol_euler_number"))

• Ledger के ज़रिए return value: fullseye.ledger.vol_euler_number(...) केवल घोषित out type measurement का value लौटाता है (मूल function सहायक जानकारी भी लौटाता है)। जो हिस्सा छोड़ दिया गया है उसकी ज़रूरत हो तो fullseye.ledger.vol_euler_number.raw(...) का उपयोग करें, या volops.vol_euler_number को सीधे call करें।

• मूल function का return: chi(b0-b1+b2)

उपयोग

binary volume की Euler characteristic, उसके तीन Betti numbers में बाँटी गई।

> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।

chi = b0 - b1 + b2 where b0 counts separate objects, b1 counts tunnels (handles that pass right through) and b2 counts enclosed cavities. For porous media that split is the whole point:

b1 is open, connected porosity — the paths a fluid can take — while b2 is closed porosity that no fluid reaches. A single chi cannot tell a foam with many tunnels from one with many sealed bubbles; the three numbers can.

*connectivity* is 6, 18 or 26 for the foreground; the background is counted with the complementary neighbourhood (26 vs 6), which is what makes the pair of counts consistent — using the same neighbourhood for both is the classical way to produce a set that is simultaneously connected and disconnected.

Returns {"euler": chi, "objects": b0, "tunnels": b1, "cavities": b2, "connectivity": connectivity}. b1 is derived as b0 + b2 - chi, so it inherits the exactness of the other three.

HALCON's euler_number is 2-D (regions) only; there is no voxel equivalent.

संदर्भ (sample data, साहित्य)

• 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।

चलाए जा सकने वाले उदाहरण (verified samples जो सच में यह op call करते हैं)

• ct_porosity_and_fibre_morphometry — py -3.11 examples_3d/ct_porosity_and_fibre_morphometry.py

वे अगले ops जिनसे type जुड़ता है (measurement को input के रूप में लेते हैं)

vol_gaussian_psf · fuse_to_voxel · fresnel_reflectance · snell_angle

इसी category के (feature)

sobel3d · hessian3d · curvature_maps · edt_jfa · edt_jfa_vector · vol_frangi · vol_local_std · vol_local_thickness


*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.