tb_smooth_funct_1d_mean — 2D `typed` op

• 資料種類:signal → signal

• 呼叫:fullseye.apply(img, "tb_smooth_funct_1d_mean", 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])

tb_smooth_funct_1d_mean: input → output

*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。*

掃描旋鈕 a(0.1 / 0.5 / 0.9，另一旋鈕取預設):

▸ tb_smooth_funct_1d_mean: knob a sweep (docs site)

掃描旋鈕 b(0.1 / 0.5 / 0.9，另一旋鈕取預設):

▸ tb_smooth_funct_1d_mean: knob b sweep (docs site)

階段(前置運算子 → 本運算子，由左至右):

▸ tb_smooth_funct_1d_mean: 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_smooth_funct_1d_mean: other inputs (docs site)

用法

迭代式移動平均平滑(HALCON `smooth_funct_1d_mean`)。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Applies a length-*size* uniform (box) filter *iterations* times with

`nearest` (edge-replicating) boundary handling. Repeated box filtering

approaches a Gaussian (central limit theorem).

:param y: 1-D function, at least 1 sample.

:param size: window length in samples; truncated to int, must be >= 1.

Even sizes are accepted but shift the window origin by half a sample

(scipy's origin convention) — prefer odd sizes for a symmetric window.

:param iterations: number of passes; truncated to int, must be >= 0.

`iterations=0` returns the (float64-coerced) input unchanged.

:returns: smoothed float64 array, same length as *y*.

:raises ValueError: non-1-D / NaN / Inf input, empty input, `size < 1`,

or `iterations < 0`.

Typed bridge of the 1d op `smooth_funct_1d_mean into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives size (default 3) and b drives iterations` (default 1).

參考(範例資料・文獻)

• 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。

在 Studio 中試試

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_signal 0.50 0.50
tb_smooth_funct_1d_mean 0.50 0.50

▸ Load this pipeline · Load & run

可執行的範例(實際呼叫該運算子並已驗證的樣例)

下面的範例呼叫的是底層帳本運算子 smooth_funct_1d_mean。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)。

• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py

• signal_funct1d — py -3.11 examples/signal_funct1d.py

型別可銜接的下一個運算子(可接受 `signal` 作為輸入)

identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d · tb_negate_funct_1d

同類別(`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)。*

tb_smooth_funct_1d_mean — 2D typed op

用法