typed op• 데이터 종류: qimage → image
• 호출: fullseye.apply(img, "tb_monogenic_amplitude", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)
모노제닉(monogenic) 신호의 국소 진폭 `sqrt(f^2 + R1^2 + R2^2)`. → (H, W).
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
The local contrast at the signal's scale, and the confidence map for
:func:monogenic_phase / :func:monogenic_orientation, which mean nothing
where this is at the rounding floor. Raw / unnormalised (a contrast is a
metric quantity), in the same spirit as `complexops.cx_magnitude`.
For a unit-contrast grating at the band centre it is exactly 1.0 (measured
spread 8.9e-16 over a 64x64 frame) and, unlike a squared oriented-filter
response, it is *isotropic*: rotating the grating does not change it.
Measured over eight grid-exact orientations the amplitude spans
`[0.99999999999999911, 1.0000000000000011]` — a total spread of 2.0e-15
across all of them, which is the isotropy claim as a number.
Raises `ValueError`: the input is not a valid quaternion field, or its
`k component is non-zero (see :func:_require_monogenic`).
Typed bridge of the quat op `monogenic_amplitude 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)
image 를 입력으로 받는 것)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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.