typed op• 데이터 종류: qimage → qimage
• 호출: fullseye.apply(img, "tb_quat_color_filter", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)
특정 색 방향을 정확히 유지하거나 제거. → (H, W, 4).
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
`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
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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 :func:quat_color_rotate and :func: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
:func: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.
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• (아직 없음)
qimage 를 입력으로 받는 것)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
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 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.