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])

*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: 旋鈕 a 掃描 (文件網站)
掃描旋鈕 b(0.1 / 0.5 / 0.9,另一旋鈕取預設):
▸ tb_smooth_funct_1d_mean: 旋鈕 b 掃描 (文件網站)
階段(前置運算子 → 本運算子,由左至右):
▸ tb_smooth_funct_1d_mean: 處理階段 (文件網站)
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: 其他輸入影像 (文件網站)
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).
• 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_signal 0.50 0.50 tb_smooth_funct_1d_mean 0.50 0.50
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
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
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.