hx_fit_surface1 — 2D `halcon_ext` op

• Data kinds: image → image

• Call: fullseye.apply(img, "hx_fit_surface1", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

• HALCON equivalent: fit_surface_first_order (the HALCON reference is a useful guide to its meaning and parameters)

Usage

> This operator's description has not been translated yet. The original text follows as it is.

gray 値を 1 次多項式面(平面)で最小二乗近似する。HALCON の

`fit_surface_first_order`(gray 値モーメントを計算し 1 次曲面で近似する)

に相当。

座標を [-1, 1] に正規化してから `[1, x, y]` を基底に最小二乗回帰し、

近似面を min-max で [0, 1] に正規化して返す(照明ムラ推定に使う)。

`a, b` は未使用。

Detailed usage guide

• gallery2d_halcon_ext family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• gallery2d_halcon_ext — py -3.11 examples/gallery2d_halcon_ext.py

Ops the type connects to (they accept `image` as input)

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

Same category (`halcon_ext`)

hx_gen_circle · hx_gen_ellipse · hx_gen_rectangle2 · hx_gen_checker_region · hx_gen_grid_region · hx_gabor · hx_fit_surface2 · hx_cooc_feature

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

hx_fit_surface1 — 2D halcon_ext op