[−][src]Trait opencv::shape::HausdorffDistanceExtractor

pub trait HausdorffDistanceExtractor: ShapeDistanceExtractor {
    fn as_raw_HausdorffDistanceExtractor(&self) -> *mut c_void;

    fn set_distance_flag(&mut self, distance_flag: i32) -> Result<()> { ... }

    fn get_distance_flag(&self) -> Result<i32> { ... }

    fn set_rank_proportion(&mut self, rank_proportion: f32) -> Result<()> { ... }

    fn get_rank_proportion(&self) -> Result<f32> { ... }
}

A simple Hausdorff distance measure between shapes defined by contours

according to the paper "Comparing Images using the Hausdorff distance." by D.P. Huttenlocher, G.A. Klanderman, and W.J. Rucklidge. (PAMI 1993). :

Required methods

fn as_raw_HausdorffDistanceExtractor(&self) -> *mut c_void

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Provided methods

fn set_distance_flag(&mut self, distance_flag: i32) -> Result<()>

Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.

Parameters

  • distanceFlag: Flag indicating which norm is used to compute the Hausdorff distance (NORM_L1, NORM_L2).

fn get_distance_flag(&self) -> Result<i32>

fn set_rank_proportion(&mut self, rank_proportion: f32) -> Result<()>

This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare shapes.

Parameters

  • rankProportion: fractional value (between 0 and 1).

fn get_rank_proportion(&self) -> Result<f32>

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Implementors

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