sin_image — 2D `arithmetic` op

• Data kinds: image → image

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

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

Usage

A periodic LUT that folds tones sinusoidally via `(sin(2*pi*x) + 1) / 2. It returns to 0.5 at x=0 and x=1, and reaches 0/1 near x=0.25/0.75 - rather than being monotonically increasing, it is an irreversible transform in which multiple input tones share the same output. Stands in for HALCON's sin_image` (Calculate the sine of an image.).

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

`a, b` は未使用。周期や位相を変える調整点は無い。等高線状の疑似カラー

効果や階調の折返しを作る用途向けで、通常のコントラスト調整には向かない。

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 (`arithmetic`)

abs_image · sqrt_image · exp_image · log_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).*

sin_image — 2D arithmetic op