typed op• 資料種類:qimage → image
• 呼叫:fullseye.apply(img, "tb_monogenic_amplitude", a=0.5, b=0.5)(2-D 的模型是一張圖 + 兩個純量旋鈕 a,b∈[0,1])

*圖為在 128×128 合成輸入上實際執行的輸出。左為輸入,右為輸出。點雲以俯視散點顯示(亮度 = z),一維序列為折線,體資料為沿 z 的最大值投影,影片為中間影格,複數影像為振幅;無法成像的回傳值直接顯示數值。*
*輸出以類 viridis 偽彩色顯示(深紫 = 小,黃 = 大),便於讀取距離、相位、方向、深度這類「量的場」。*
*旋鈕 a 不改變輸出(實測: 0.1 / 0.5 / 0.9 相同)。*
*旋鈕 b 不改變輸出(實測: 0.1 / 0.5 / 0.9 相同)。*
階段(前置運算子 → 本運算子,由左至右):
▸ tb_monogenic_amplitude: stages (docs site)
換別的影像(合成場景 / 照片 / 硬幣。上排為輸入,下排為對應輸出。旋鈕取預設):
▸ tb_monogenic_amplitude: other inputs (docs site)
單演訊號的局部振幅 `sqrt(f^2 + R1^2 + R2^2)`。→ (H, W)。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
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.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
下面的程式已確認可以執行(與圖相同的輸入)。在 Studio 說明中,此區塊會變成按鈕,可當場載入並執行。
img_to_monogenic 0.50 0.50 tb_monogenic_amplitude 0.50 0.50
▸ Load this pipeline · Load & run
下面的範例呼叫的是底層帳本運算子 monogenic_amplitude。此橋接運算子只是把同一實作適配為 fn(v, a, b) 慣例,行為完全相同(只是呼叫形式不同)。
• quaternion_monogenic — py -3.11 examples/quaternion_monogenic.py
image 作為輸入)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.