polish op• Data kinds: image2d × scalar → table
• Call: import fullseye as fs; fs.ledger.wipe_coverage(image, res: 'float', threshold='otsu', coat=None, optical_depth: 'float' = 1.3862943611198906, bare: 'float' = 0.85, min_area: 'int' = 4) -> 'dict' (to call the implementation directly, import polish; polish.wipe_coverage(image, res: 'float', threshold='otsu', coat=None, optical_depth: 'float' = 1.3862943611198906, bare: 'float' = 0.85, min_area: 'int' = 4) -> 'dict'; from the registry, opsdrive.get("wipe_coverage"))
> This operator's description has not been translated yet. The original text follows as it is.
拭けた所(明るい = 膜が消えた所)の面積を画像から読む。2 値化と連結成分は detect.segment_objects(Otsu が既定)。
返り `area(拭けた画素 × res² [m²])、fraction、largest_area、n_regions、mask、threshold`(Otsu の
しきい値 = 拭けた側の最小と残った側の最大の中点で推定)、`coat を渡せば residual_at_threshold`(しきい値の明るさが意味する
残った膜の厚さ —— 読んだ帯は「除去 ≥ h0 − この厚さ」の所)。Raises ValueError: 画像の検査、res ≤ 0、拭けた所も残った所も
無い(しきい値が決まらない)。
• 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.
• poc_polish_wipe_measure — py -3.11 examples/poc_polish_wipe_measure.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
polish)preston_pressure_kernel · preston_removal_map · preston_track_profile · wipe_band_width · raster_wipe_area · coat_image · coat_thickness_from_image · band_width_profile
*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.