smooth_contours — 2D `contour` op

• Data kinds: contour → contour

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

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

smooth_contours: 入力 → 出力

*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).*

Usage

Smooths XLD contours using a moving average. Equivalent to HALCON's `smooth_contours_xld` (Smooth an XLD contour.).

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

`a が平滑化窓の半幅を 1〜4（窓長 2w+1 = 3,5,7,9）に振る。b は未使用。各輪郭の (row, col) 列を独立に等重み移動平均（np.convolve の "same"` モード）で均す。点数が窓長の 2 倍以下の短い輪郭はそのまま素通しする（平滑化されない）。

Detailed usage guide

• gallery2d_contour_measure 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.

Try it in Studio

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.

threshold 0.50 0.50
sk_find_contours 0.50 0.50
smooth_contours 0.50 0.50

▸ Load this pipeline · Load & run

Runnable examples (verified samples that actually call this op)

• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py

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

identity · select_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld · smooth_contours_xld

Same category (`contour`)

select_contours · fit_line_contours · contours_to_region · sk_find_contours · edges_sub_pix · lines_gauss · select_contours_xld · smooth_contours_xld

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

smooth_contours — 2D contour op