nonmax_suppression_amp — 2D `segmentation` op

• Data kinds: image → region

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

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

Usage

Non-maximum suppression that extracts local maxima. Only pixels that match the maximum value in their window and exceed the threshold `0.3+0.4b` are kept as foreground. a sets the window size to 3/5/7/9.

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

HALCON の `nonmax_suppression_amp`（エッジ振幅画像上で法線方向に非極大点を抑制し、稜線を 1 画素幅に絞る演算）とは異なり、この実装は方向を考慮しない単純な局所最大値判定で、エッジ法線方向のサブピクセル抑制は行わない近似。

Detailed usage guide

• gallery2d_segmentation 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_segmentation — py -3.11 examples/gallery2d_segmentation.py

Ops the type connects to (they accept `region` as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (`segmentation`)

threshold · otsu · canny · adaptive_gauss_thresh · sk_otsu · sk_li · sk_yen · sk_sauvola

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

nonmax_suppression_amp — 2D segmentation op