tb_lf_depth_from_focus — 2D typed op

資料種類:lightfieldimage

呼叫:fullseye.apply(img, "tb_lf_depth_from_focus", 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])

用法

在重新對焦掃描中依清晰度峰值得到的逐像素斜率。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Refocus at every slope in *slopes*, measure local sharpness (*measure*:

`laplacian` = summed modified Laplacian, the classical depth-from-focus

operator; `variance = local variance; gradient` = local gradient

energy) in a `window x window` neighbourhood, and take the slope at which

each pixel is sharpest. With `subpixel=True` (default) the peak is refined

by fitting a parabola through the winning sample and its two neighbours on a

uniformly spaced sweep — on a non-uniform sweep the refinement is

skipped rather than applied with the wrong spacing.

Unbiased where :func:lf_epi_slope is not: measured 2026-09-01 on a

5x5x64x64 synthetic field over a 121-point sweep from -3 to +3, the argmax

landed exactly on the true slope in 18 of 18 combinations (true slopes

0.0, +0.5, +1.0, +1.5, +2.0, -1.0 crossed with texture sigma 1.5 / 3.0 /

5.0 px), and the sub-pixel refinement left every one of them unmoved. Its

resolution, though, is whatever you put in *slopes* — it cannot see a plane

you never refocused on.

Returns `(slope_map, sharpness): the (H, W)` map of estimated slopes

(in px per angular step) and the `(H, W)` peak focus-measure value, which

is the honest confidence — a textureless pixel has no sharpness peak, gets

an essentially arbitrary slope, and its `sharpness` is ~0. Threshold on it

rather than trusting the map everywhere.

Raises `ValueError`: *lf* not a valid light field, *slopes* empty /

over :data:MAX_STACK_SLICES / over :data:MAX_STACK_ELEMENTS / containing

a non-finite or over-large value, an even or non-positive *window*, unknown

*measure* / *interp* / *edge*.

Typed bridge of the lightfield op `lf_depth_from_focus 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.

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。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• (尚無)

型別可銜接的下一個運算子(可接受 image 作為輸入)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

同類別(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 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.