quickshift — SEGMENTATION graph op

• Data kinds: image2d → table

• Call: import fullseye as fs; fs.ledger.quickshift(image, *, kernel_size: 'float' = 3.0, max_dist: 'float' = 6.0, ratio: 'float' = 1.0, search_radius: 'int' = 10) -> 'Dict[str, object]' (to call the implementation directly, import seggraph; seggraph.quickshift(image, *, kernel_size: 'float' = 3.0, max_dist: 'float' = 6.0, ratio: 'float' = 1.0, search_radius: 'int' = 10) -> 'Dict[str, object]'; from the registry, opssegmentation.get("quickshift"))

Usage

Quick shift (Vedaldi–Soatto 2008): estimates the Parzen density P_i = Σ_j exp(−D_ij²/(2σ²)) on the features (y, x, ratio · I) (window 3σ, σ = kernel_size), links each pixel to the nearest point of higher density (inside a window of radius search_radius), and takes the components of the tree, after cutting branches longer than max_dist, as the regions (quickshift).

Density ties are broken by pixel index (no randomness). The tree does not depend on max_dist (with search_radius fixed), so partitions with increased max_dist are nested (only fewer branches are cut). Returns: labels (1..k), n_segments, parent (flat indices, the root is itself), link (distance to the parent, inf for the root), density.

Detailed usage guide

• halcon_segmentation family guide

Background guides (the physics and conventions behind this op)

• graph_hierarchy_and_thresholds — Segmentation from graph, hierarchy and threshold theorems — what is exact, and where the partition breaks down

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_graph_hierarchy_segmentation — py -3.11 examples/poc_graph_hierarchy_segmentation.py

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

class_ndim_norm

Same category (graph)

graph_cut_binary · alpha_expansion · statistical_region_merging · max_tree · area_opening_attr · quasi_flat_zones · alpha_tree · hierarchical_watershed

*Provenance: seggraph.py — SEGMENTATION 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.