gray_projections — MV `gray` op

• Data kinds: image2d → table

• Call: import fullseye as fs; fs.ledger.gray_projections(image, region=None) (to call the implementation directly, import image_gray; image_gray.gray_projections(image, region=None); from the registry, opsmv.get("gray_projections"))

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

• GPU: none (CPU reference implementation only)

Usage

Return the mean gray value per row and per column.

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

horizontal は長さ H(各行の平均)、vertical は長さ W(各列の平均)。region の画素だけで平均し、領域の画素が 1 つも無い行と列は 0.0 を返す(理由: 平均する画素が無い)。空の入力(image 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

• poc_real_typewritten_ocr — py -3.11 examples/poc_real_typewritten_ocr.py

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

map_image · rectify_to_world_plane · change_radial_distortion_image · find_ncc_models · run_bg_esti · give_bg_esti · update_bg_esti · classify_class_gmm

Same category (`gray`)

atan2_image · area_center_gray · gray_histo · get_grayval_contour_xld

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

gray_projections — MV gray op