typed op• データ種: qimage → rgbimage
• 呼び出し: fullseye.apply(img, "tb_quaternion_to_rgb", a=0.5, b=0.5) (2-D は 1 画像 + 2 スカラつまみ a,b∈[0,1] のモデル)
*図なし: この op は qimage を入力に取る。画像から始まる Studio のプログラムでは型が届かないので、下の「実行できる例」で使い方を見ること。*
Vector part of a quaternion image, as linear RGB. → (H, W, 3).
The inverse of :func:rgb_to_quaternion — and, by default, a *checked*
inverse. A quaternion image that picked up a scalar component somewhere (a
Hamilton product with a non-pure quaternion, a monogenic signal handed here
by mistake) is refused rather than silently truncated, because dropping
the `w` component is exactly the kind of loss that produces a plausible
picture from the wrong data. Pass `allow_scalar=True` to opt in to the
truncation when it is what you meant.
The tolerance is relative to the field's own peak modulus
(:data:_MONOGENIC_K_TOL, 1e-9): a quaternion image that really is pure
carries `|w|` at the 1e-17 level after a round trip through two FFTs, and
anything with a meaningful scalar part is many orders above that. Nothing
real lives in between.
Raises `ValueError: *qimage* is not a finite (H, W, 4)` array; or
it has a non-negligible scalar part and `allow_scalar` is False.
Typed bridge of the quat op `quaternion_to_rgb into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• (まだありません)
rgbimage を入力に取れる)identity · tb_wetness · tb_sensor_capture · tb_specular_diffuse_split · tb_specular_coefficient_map · tb_specular_free_transform · tb_rgb_to_quaternion
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_radius_outlier_removal
*Provenance: ops.py — 2D operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.