subpix op• Data kinds: image → contour
• Call: fullseye.apply(img, "sp_local_min_sub_pix", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: local_min_sub_pix (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).*
Detects local minima of the gray-value surface with sub-pixel accuracy (equivalent to HALCON `local_min_sub_pix`).
> The detailed description below is the original text — the summary and the headings are translated.
アルゴリズムは `sp_local_max_sub_pix と対称(3x3 の 2 次曲面フィットで勾配 0 点へサブピクセル補正)。a は極小の顕著さ(周囲の最大値からの深さ)のしきい値を 0.01〜0.31 に振り(thr = 0.01 + 0.30*a)、b` は未使用。戻り値は CONTOUR、座標の単位は入力画像のピクセル。暗いスポット・くぼみの検出に向く。
• gallery2d_geometry family guide
• measurement_uncertainty — 計測の不確かさと校正の知識 — 「測れている」を主張するために
• 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.
sp_local_min_sub_pix 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_geometry — py -3.11 examples/gallery2d_geometry.py
contour as input)identity · select_contours · smooth_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld
subpix)sp_local_max_sub_pix · sp_saddle_points_sub_pix · sp_critical_points_sub_pix · sp_plateaus · sp_lowlands_center
*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.