cut_surface_roughness — DRIVE `cutting` op

• Data kinds: rgb × scalar × scalar × signal → table

• Call: import fullseye as fs; fs.ledger.cut_surface_roughness(image, px_per_mm: 'float', board_row: 'float', z_band, n_sampling: 'int' = 5) -> 'dict' (to call the implementation directly, import cutting; cutting.cut_surface_roughness(image, px_per_mm: 'float', board_row: 'float', z_band, n_sampling: 'int' = 5) -> 'dict'; from the registry, opsdrive.get("cut_surface_roughness"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

切った後の端面のシルエット(行ごと副画素)を断面とみなし、最小二乗の直線を引いて ISO 4287 のパラメータ(µm)を出す。

パラメータは `roughness.profile_params`(Ra / Rq / Rz / Rt …)をそのまま呼ぶ。断面は行の高さ 1 px で平均されるので、

正弦の凹凸は箱型の閉形式 `sinc(πΔ/λ)`(Δ = 1 px)倍に弱まる。平らな面でも測りの床(雑音と肌理による Rq)が残るので、

比べるときは床を二乗で引く。Rz は雑音の山に引っ張られる(床の扱いは Rq でだけ意味がある)。

返り値: `profile_um(行ごとの偏差)、z_mm、params、dz_um(標本間隔)、n_rows`。

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_food_cutting_measure — py -3.11 examples/poc_food_cutting_measure.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 (`cutting`)

cutting_scene · cutting_face_render · cutting_edge_render · cutting_episode_synth · cutting_wrist_mjcf · knife_edge_track · cut_depth_from_side · slice_thickness_profile

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

cut_surface_roughness — DRIVE cutting op