atan2_image — MV `gray` op

• Data kinds: image2d × image2d → image2d

• Call: import fullseye as fs; fs.ledger.atan2_image(image1, image2) (to call the implementation directly, import filters_arith; filters_arith.atan2_image(image1, image2); from the registry, opsmv.get("atan2_image"))

• HALCON equivalent: atan2_image (the HALCON reference is a useful guide to its meaning and parameters)

• GPU: none (CPU reference implementation only)

Usage

Return the per-pixel atan2(image1, image2) of two images in radians.

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

勾配の成分から向きを求めるのに使う。値は -pi .. pi。空の入力(image1 が 0 要素)は ValueError。

Detailed usage guide

• machine_vision_classics 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)

• machine_vision_tour — py -3.11 examples/machine_vision_tour.py

Ops the type connects to (they accept `image2d` as input)

binocular_disparity_ms · binocular_distance_ms · reconstruct_surface_stereo · map_image · rectify_to_world_plane · change_radial_distortion_image · crop_rectangle2 · area_center_gray

Same category (`gray`)

area_center_gray · gray_histo · gray_projections · get_grayval_contour_xld

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

atan2_image — MV gray op