tb_radius_outlier_removal — 2D `typed` op

• Data kinds: points → points

• Call: fullseye.apply(img, "tb_radius_outlier_removal", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

Removes points whose number of neighbors within radius radius is below min_neighbors (removal of isolated points).

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

各点を中心に半径 `radius の球を張り、その中に居る他点の数が min_neighbors`

に満たない点を「孤立した粒」として落とす。統計的手法より局所的・直接的で、

センサの実スケールが分かっているときにしきい値を決めやすい。

Parameters

----------

points : array_like, shape (N, 3)

入力点群。

radius : float

近傍とみなす球の半径(> 0)。

min_neighbors : int

残すのに必要な近傍数(自分自身は数えない、既定 8)。

Returns

-------

filtered : ndarray, shape (M, 3)

生き残った点(元の順序を保持)。

keep_mask : ndarray of bool, shape (N,)

各入力点を残すか(True=残す)。

Notes

-----

`radius <= 0` は ValueError。空入力は空を返す(graceful)。

2-D 進化レジストリへ橋渡しした 3d の op `radius_outlier_removal。実装は同じで、呼び出し規約だけ op(v, a, b) に合わせてある。a が min_neighbors(既定 8)を振る。b` は未使用。

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

identity · tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal

Same category (`typed`)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_voxel_grid_downsample

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tb_radius_outlier_removal — 2D typed op