Struct SpatialSquareValidator 

pub struct SpatialSquareValidator {
    pub min_spacing: f32,
    pub max_spacing: f32,
}

Validator for square grids with no orientation information.

Classifies neighbors by image-space quadrant and filters by distance. Suitable for any approximately regular square lattice of detected features.

PointData

() — no per-point data needed.

Fields

min_spacing: f32

Minimum acceptable neighbor distance (pixels).

max_spacing: f32

Maximum acceptable neighbor distance (pixels).

Trait Implementations

impl NeighborValidator for SpatialSquareValidator

type PointData = ()

Per-point data beyond position (e.g., orientation, cluster label). Use () if no extra data is needed.

fn validate( &self, _source_index: usize, _source_data: &(), candidate: &NeighborCandidate, _candidate_data: &(), ) -> Option<(NeighborDirection, f32)>

Validate whether candidate is a valid grid neighbor of the point at source_index. Returns (direction, score) where lower score is better, or None to reject.