robinson_dir — 2D edges op

• Data kinds: image → image

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

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

Usage

An edge-direction map using the Robinson compass operator. Selects the maximum convolution response among 8 directions (a total of 8 kernels, `_ROBINSON[0]/_ROBINSON[1]` each rotated by 45 degrees), and returns that kernel's index normalized to 0-1. a and b are unused.

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

`frei_dir/sobel_dir が arctan2 による連続角度なのに対し、こちらは 8 方向のうち最も強く反応したカーネルの**インデックス**を返す離散近似である点に注意（8 段階の量子化角度）。HALCON の robinson_dir（Robinson 演算子でエッジの振幅と方向を検出する演算）の方向成分に相当。振幅は robinson_amp` が担当する。

Detailed usage guide

• gallery2d_edges 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_edges — py -3.11 examples/gallery2d_edges.py

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

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

Same category (edges)

sobel_mag · prewitt_mag · roberts_mag · dog · grad_dir · log · corner_response · sk_scharr

*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.