color op• Data kinds: color → color
• Call: fullseye.apply(img, "linear_trans_color", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: linear_trans_color (the HALCON reference is a useful guide to its meaning and parameters)

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*
Linearly transforms between channels using a 3x3 mixing matrix (affine color transform). Corresponds to HALCON's `linear_trans_color` (computes an affine transform of color values for a multichannel image) (this implementation is a pure linear transform with no offset term).
> The detailed description below is the original text — the summary and the headings are translated.
対角成分 0.6 + 非対角 0.2 を基本形とし、a で位相 `theta = pi * a` を
振って対角成分の一部を `cos(theta)/sin(theta)` で回転的に変化させた
行列を作り、各行を合計 1 に正規化してから `c @ M.T` を掛ける。
a が 0→1 で R/G 寄りの重みづけが周期的に入れ替わる。b は未使用。
• gallery2d_color_artistic family guide
• colorimetry — 測色と分光の知識 — 色は「分光 × 光源 × 観測者」でしか決まらない
• 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.
The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.
cfa_to_rgb 0.50 0.50 linear_trans_color 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_color_artistic — py -3.11 examples/gallery2d_color_artistic.py
color as input)identity · trans_from_rgb · trans_to_rgb · principal_comp · rgb1_to_gray · rgb3_to_gray · access_channel · edges_color
color)cfa_to_rgb · trans_from_rgb · trans_to_rgb · principal_comp · rgb1_to_gray · rgb3_to_gray · access_channel
*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.