tb_quat_color_filter — 2D typed op

• データ種: qimage → qimage

• 呼び出し: fullseye.apply(img, "tb_quat_color_filter", 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)

tb_quat_color_filter: input → output

*図は合成の入力 128×128 で実際に走らせた出力。左が入力、右が出力。点群は上から見た散布(明るさ = z)、1-D 列は折れ線、体積は z 方向の最大値投影、動画は中央フレーム、複素画像は振幅、絵にならない返り値は値そのもの。*

*つまみ a は出力を変えない(実測: 0.1 / 0.5 / 0.9 で同一)。*

*つまみ b は出力を変えない(実測: 0.1 / 0.5 / 0.9 で同一)。*

段階(前置きの op → この op。左から順):

▸ tb_quat_color_filter: 段階の図 (docs サイト)

別の画像でも(合成シーン / 写真 / 硬貨。上段が入力、下段がその出力。つまみは既定):

▸ tb_quat_color_filter: 別の画像での出力 (docs サイト)

使い方

Keep or remove one colour direction, exactly. → (H, W, 4).

mode="remove" returns v - (v.g) g for the unit RGB direction g:

the component along g is exactly zero everywhere afterwards, to machine precision (measured max residual 5.8e-16 and 6.5e-16 on two random colour images — seed-dependent only at the 1e-16 level), and remove + keep reproduces the input to 0.0 exactly. mode="keep" returns the complementary (v.g) g. The scalar part is passed through untouched in both.

There is no default mode. The two are opposites, both return a valid picture, and neither raises — so choosing for the caller would be a coin flip that never announces itself.

Not a new algorithm, and this docstring will not pretend otherwise

The remove branch is the specular-invariant projection of Mallick et al. (2005), which this repository already implements as specularity.specular_free_transform for the rgbimage sort. Rather than write the same three lines twice, this operator *delegates* to it — so agreement between the two sorts is by construction rather than by luck, and a future fix in one is a fix in both. What is added here is the keep branch (which has no counterpart there) and the qimage sort, so the projection composes with quat_color_rotate and qft2.

What this can do that a channelwise pipeline cannot

A per-channel filter applies a diagonal matrix, and I - g g^T is diagonal only when g is a coordinate axis. For g = (1,1,1)/sqrt(3) — remove the grey axis, i.e. keep only chromatic content — the *best possible* diagonal approximation is off by ||P - diag(P)||_2 = 0.666667 in operator norm. Concretely, a pure red pixel (1, 0, 0) must become (0.666667, -0.333333, -0.333333); the best diagonal filter can only reach (0.666667, 0, 0), an error of 0.471405 — it cannot put anything into the green and blue channels, because it multiplies each channel by a number and both start at zero. The impossibility is structural, not a tuning gap. (A full 3x3 colour matrix, of course, does it exactly; see quat_color_rotate for that half of the accounting.)

Raises ValueError: *qimage* is not a valid (H, W, 4) field; *direction_rgb* is not a finite non-zero 3-vector; *mode* is not 'remove' / 'keep'.

Typed bridge of the quat op quat_color_filter 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.

参考(サンプルデータ・文献)

• 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。

Studio で試す

下のプログラムは実際に走ることを確かめてある(図と同じ入力)。Studio のヘルプではこのブロックがボタンになり、その場で読み込んで実行できる。

img_to_rgb 0.50 0.50
tb_rgb_to_quaternion 0.50 0.50
tb_quat_color_filter 0.50 0.50

▸ このパイプラインを読み込む  ·  読み込んで実行

実行できる例(この op を実際に呼ぶ検証済みサンプル)

次の例は元の台帳 op quat_color_filter を呼ぶもの。この橋渡し op は同じ実装を fn(v, a, b) 規約に合わせただけなので、挙動はそのまま当てはまる(呼び出し形だけ違う)。

• quaternion_monogenic — py -3.11 examples/quaternion_monogenic.py

型が繋がる次の op(qimage を入力に取れる)

identity · tb_quaternion_to_rgb · tb_quat_norm · tb_quat_conjugate_image · tb_quat_normalize_image · tb_monogenic_amplitude · tb_monogenic_phase · tb_monogenic_orientation

同カテゴリ(typed)

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


*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.