polar_trans_contour_xld — 2D `contour` op

• Data kinds: contour → contour

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

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

Usage

Converts each point of the contour into polar coordinates (radius, angle) from the image center, then repacks them into pseudo pixel coordinates (scaling the radius by whichever of H or W is larger, and mapping the angle to [0,1]). A simplified coordinate transformation corresponding to HALCON's `polar_trans_contour_xld` (Transform a contour in an annular arc to polar coordinates.).

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

`a, b` は未使用 ―― 中心・スケールは画像サイズから自動的に決まる。

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.

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 · smooth_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld

Same category (`contour`)

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

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

polar_trans_contour_xld — 2D contour op