particle_image_d50 — DRIVE grind op

• Data kinds: image2d × scalar → table

• Call: import fullseye as fs; fs.ledger.particle_image_d50(image, pitch: 'float', basis: 'str' = 'volume', threshold: 'float' = 0.02, border: 'str' = 'exclude') -> 'dict' (to call the implementation directly, import grind; grind.particle_image_d50(image, pitch: 'float', basis: 'str' = 'volume', threshold: 'float' = 0.02, border: 'str' = 'exclude') -> 'dict'; from the registry, opsdrive.get("particle_image_d50"))

Usage

D10 / D50 / D90 [µm] from the particles in a coverage image. The area is the sum of coverage within the label (counts the partial pixels at the edge; does not swell with the threshold).

> The detailed description below is the original text — the summary and the headings are translated.

basis: "volume"(球と見て d³ の重み —— レーザー回折と同じ体積基準)、"number"(個数基準)。同じ画像でもこの 2 つは別の分布で、体積基準が大きく出る。border: "exclude"(縁に触れる粒子を捨てる)/ "include"。

返り: d10・d50・d90・diameters(等価円直径 µm)・n・n_border・basis。粒子が 3 未満 → ValueError。融合した粒子は 1 個に数える(分けない —— 塗れた面積の分離は別の op の仕事)。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_dose_uniformity_from_grinding — py -3.11 examples/poc_dose_uniformity_from_grinding.py

• poc_powder_grinding_ae — py -3.11 examples/poc_powder_grinding_ae.py

Ops the type connects to (they accept table as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (grind)

particle_size_read · particle_size_dx · particle_size_oversize · particle_size_synth · comminution_energy · comminution_law_fit · breakage_first_order_fit · replicate_compare


*Provenance: grind.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.