band_width_profile — DRIVE polish op

• Data kinds: image2d × scalar × scalar → table

• Call: import fullseye as fs; fs.ledger.band_width_profile(image, threshold: 'float', res: 'float', along: 'str' = 'x') -> 'dict' (to call the implementation directly, import polish; polish.band_width_profile(image, threshold: 'float', res: 'float', along: 'str' = 'x') -> 'dict'; from the registry, opsdrive.get("band_width_profile"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

直線の一筆(`along` の向き)で拭けた帯の幅を、帯に直交する線ごとに副画素で読む: しきい値を最初に越える所と最後に越える所を

隣の画素との線形補間で求め、その差 × res。返り `widths(線ごと、読めない線は NaN)、centres`(帯の中心の位置 [m]、

地図の座標)、`valid、median`。帯が 1 本である前提(複数の帯は外側どうしの幅になる)。

Raises ValueError: 画像の検査、res ≤ 0、along が x / y でない、しきい値が非有限。

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)

• poc_polish_wipe_measure — py -3.11 examples/poc_polish_wipe_measure.py

Ops the type connects to (they accept table as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (polish)

preston_pressure_kernel · preston_removal_map · preston_track_profile · wipe_band_width · raster_wipe_area · coat_image · coat_thickness_from_image · wipe_coverage

*Provenance: polish.py — DRIVE 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.