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"))
> This operator's description has not been translated yet. The original text follows as it is.
被覆率の画像の粒子から D10 / D50 / D90 [µm]。面積は ラベルの中の被覆率の和(縁の部分画素を数える、閾値で太らない)。
`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)。
• 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.
• 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
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
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.