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

Paints the gray values of the 2nd image (source) into the 1st image. Corresponds to HALCON's paint_gray. ★The painted area is all non-zero pixels of the source (matching this layer's convention "outside the domain is 0"). Until 2026-09-03 only pixels > 0.5 were painted, so dark sources disappeared. a, b are unused.

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