paint_gray — 2D `nary` op

• Data kinds: image × image → image

• Call: this op takes 2 inputs, so fullseye.apply cannot run it (that is the one-image model). g = fullseye.FullseyeGraph(); g.add("out", "paint_gray", ["$in1", "$in2"], a=0.5, b=0.5); g.run({"$in1": img1, "$in2": img2}, terminal="out") (names starting with $ are the inputs you pass in)

• HALCON equivalent: paint_gray (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.

第 2 画像(source)の濃淡を第 1 画像へ塗り込む。HALCON の `paint_gray に相当。★塗る範囲は source の**非ゼロ画素すべて**(この層の約束「定義域の外は 0」に合わせた)。2026-09-03 までは > 0.5 の画素だけを塗っていたため、**暗い source が消えていた**。a, b` は未使用。

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

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

Same category (`nary`)

add_image · sub_image · mult_image · div_image · abs_diff_image · max_image · min_image · bit_and

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

paint_gray — 2D nary op