coverage_edge_points — DRIVE `pegsim` op

• Data kinds: image2d × image2d × image2d → matrix

• Call: import fullseye as fs; fs.ledger.coverage_edge_points(gray, inside, outside, min_contrast: 'float' = 25.0, exclude=None) -> 'np.ndarray' (to call the implementation directly, import pegsim; pegsim.coverage_edge_points(gray, inside, outside, min_contrast: 'float' = 25.0, exclude=None) -> 'np.ndarray'; from the registry, opsdrive.get("coverage_edge_points"))

Usage

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

反エイリアスされた境界の明るさ(被覆率)から副画素の縁の点 (u, v) を返す: inside 側の画素 p と 2 画素先が outside の対で、

縁の位置 = p から (−0.5 + f_p + f_q) 画素(f = その画素の inside 側の被覆率 = (I − I_out) / (I_in − I_out))。

4 軸方向(上下左右)の対を全部使う。`inside / outside は bool マスク(同じ形)、gray` は明るさ(float)。

`min_contrast 未満の対は捨て、exclude` のマスクに掛かる対も捨てる。返りは (N, 2) の (u, v)(列・行)。

Raises `ValueError`: 形が違う、対が 1 つも無い。

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)

• (none yet)

Ops the type connects to (they accept `matrix` as input)

world_camera · lidar_scan · relative_motion · foe_from_motion · flow_from_depth_motion · ttc_truth · world_materials · mesh_signed_volume

Same category (`pegsim`)

peg_params · whitney_clearance · two_point_depth · wedging_check · jamming_diagram · chamfer_capture · contact_state_predict · circle_fit_known_radius

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

coverage_edge_points — DRIVE pegsim op