oct op• Data kinds: image2d → table
• Call: import fullseye as fs; fs.ledger.oct_bscan_boundaries(image, n_boundaries=2, um_per_px=1.0, n_group=None, min_gap_px=4, max_jump_px=2, jump_penalty=0.0, smooth_sigma=1.0, mode='peak', top_px=None, bottom_px=None, reference_rows=None, offset_px=None) (to call the implementation directly, import octscan; octscan.oct_bscan_boundaries(image, n_boundaries=2, um_per_px=1.0, n_group=None, min_gap_px=4, max_jump_px=2, jump_penalty=0.0, smooth_sigma=1.0, mode='peak', top_px=None, bottom_px=None, reference_rows=None, offset_px=None); from the registry, opsoptics.get("oct_bscan_boundaries"))
Trace interfaces laterally across a B-scan image (image2d → table). Also works on an instrument's output figure.
> The detailed description below is the original text — the summary and the headings are translated.
各界面 = 列ごとに 1 行を選ぶ道で、隣の列との行の差 ≤ max_jump_px、費用 = −(明るさの z 値)の和 + jump_penalty × |行の差| が最小のもの(動的計画法。網膜の層分割の Chiu ら 2010、塗膜の Dong ら 2016 と同じ「最短路」の考え方の 1 本ずつ版)。mode="peak" は明るさ(界面は明るい線)、"edge" は下向きの明るさの増え方(暗 → 明、散乱の多い層の上の面)。見つけた道の上下 min_gap_px は次の道で使わない。
探す範囲: top_px / bottom_px(数か列ごとの (W,))、または reference_rows(既に見つけた面、例えば表面)からの相対 offset_px = (下限, 上限)。★相対で探すと、面と平行な界面に罰が掛からず、表面の傾きに従わない平らな線 —— 自己相関のアーチファクト(層の光学厚の深さに水平に出る)—— は jump_penalty で不利になる。行は明るさの放物線で行以下に詰める。
厚さ = 隣の界面の行の差 × um_per_px(縦の 1 画素の µm、光路)÷ n_group(層ごと、None なら光学厚)。reference_rows を渡したときは、それを 1 本目の界面として行の表に含める。
返り値: dict(kind="oct_boundaries", rows (n, W)、thickness_um (n − 1, W)、mean_um、std_um、contrast)。画像が平ら・範囲が狭すぎて道が置けないときは拒否。
Every optics op validates its input before computing (nothing slips through silently):
• Units are baked into the argument name — _mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.
• Strings raise ValueError — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.
• complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.
• Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).
• Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). Any other silent NaN/Inf is detected internally and raises ValueError — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.
• Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).
• Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.
• 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_industrial_oct — py -3.11 examples/poc_industrial_oct.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
oct)oct_design · oct_dispersion_broadening · oct_interferogram · oct_bscan_simulate · oct_from_spectra · oct_k_linearize · oct_dispersion_estimate · oct_dispersion_compensate
*Provenance: octscan.py — OPTICS 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.