scale_image_max — 2D `gray` op

• Data kinds: image → image

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

• HALCON equivalent: scale_image_max (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.

画像の最小値〜最大値を [0,1] いっぱいに引き伸ばす min-max 正規化

(`(x - min) / (max - min)`、定数画像なら無変更)。HALCON の

`scale_image_max`（Maximum gray value spreading in the value range 0 to

255.）に相当(値域は 0〜255 ではなく [0,1] 契約)。

`a, b` は未使用。画像全体の統計から自動的に決まるため調整の余地が

ない。

Detailed usage guide

• gallery2d_gray_arith 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_gray_arith — py -3.11 examples/gallery2d_gray_arith.py

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

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

Same category (`gray`)

gamma · invert · scale_clip · equalize · sigmoid · clahe · sk_adapthist · sk_enhance_contrast

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

scale_image_max — 2D gray op