sk_adapthist — 2D `gray` op

• Data kinds: image → image

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

Usage

CLAHE (Contrast Limited Adaptive Histogram Equalization). Divides the image into small tiles and equalizes the histogram locally within each, boosting local contrast even in images with large light-dark differences.

> The detailed description below is the original text — the summary and the headings are translated.

HALCON に直接対応するものは無い。実装は `exposure.equalize_adapthist(clip(v,0,1), clip_limit=0.01+0.05*a)` —— a は clip_limit(コントラスト制限の強さ)を 0.01〜0.06 に振る(大きいほど強くコントラストが上がりノイズも増幅されやすい)。b は未使用。タイル分割数はskimage の既定値(8x8)のまま。

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_enhance_contrast · sk_autolevel

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

sk_adapthist — 2D gray op