hysteresis_threshold — 2D `segmentation` op

• Data kinds: image → region

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

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

Usage

Hysteresis thresholding (`skimage.filters.apply_hysteresis_threshold). Among pixels exceeding a low threshold (0.2+0.3*a), only those connected to pixels exceeding a high threshold (0.5+0.3*b) are kept as foreground -- an edge-extraction technique resistant to gaps, also used as post-processing for Canny edge detection. Corresponds to HALCON's hysteresis_threshold` (Perform a hysteresis threshold operation on an image).

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

`a が低いしきい値を、b` が高いしきい値を振る。両方が使われる。

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).*

hysteresis_threshold — 2D segmentation op