abs_image — 2D `arithmetic` op

• Data kinds: image → image

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

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

Usage

Takes the absolute value of pixel values (`np.abs). Since fullseye's image already follows the [0,1] contract (non-negative), this acts as an identity mapping that changes nothing for a normal image. It only has an effect when a signed intermediate result, such as a difference image, is passed in directly. Stands in for HALCON's abs_image` (Calculate the absolute value (modulus) of an image.).

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

`a, b は未使用。clip 前の生値 v にそのまま abs` を掛けている点に

注意(他の pointwise 分岐は `x = clip(v,0,1) を使うが、この分岐だけ v`

を直接見る)。

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 (`arithmetic`)

sqrt_image · exp_image · log_image · sin_image · cos_image · asin_image · acos_image · atan_image

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

abs_image — 2D arithmetic op