...one of the most highly
regarded and expertly designed C++ library projects in the
world.

— Herb Sutter and Andrei
Alexandrescu, C++
Coding Standards

Calculate discrete Hausdorff distance between two geometries (currently works for LineString-LineString, MultiPoint-MultiPoint, Point-MultiPoint, MultiLineString-MultiLineString).

template<typename Geometry1, typename Geometry2> auto discrete_hausdorff_distance(Geometry1 const & geometry1, Geometry2 const & geometry2)

Type |
Concept |
Name |
Description |
---|---|---|---|

Geometry1 const & |
Any type fulfilling a Geometry Concept |
geometry1 |
Input geometry |

Geometry2 const & |
Any type fulfilling a Geometry Concept |
geometry2 |
Input geometry |

Either

`#include <boost/geometry.hpp>`

Or

`#include <boost/geometry/algorithms/discrete_hausdorff_distance.hpp>`

The algorithm calculate discrete hausdorff distance between two geometries.

Note | |
---|---|

The units of the distance depends on strategy. In order to change the default behavior a user has to create a strategy and pass it explicitly into the algorithm. |

Calculate Similarity between two geometries as the discrete hasdorff distance between them.

#include <iostream> #include <boost/geometry.hpp> #include <boost/geometry/geometries/point_xy.hpp> #include <boost/geometry/geometries/linestring.hpp> int main() { typedef boost::geometry::model::d2::point_xy<double> point_type; typedef boost::geometry::model::linestring<point_type> linestring_type; linestring_type ls1, ls2; boost::geometry::read_wkt("LINESTRING(0 0,1 1,1 2,2 1,2 2)", ls1); boost::geometry::read_wkt("LINESTRING(1 0,0 1,1 1,2 1,3 1)", ls2); double res = boost::geometry::discrete_hausdorff_distance(ls1, ls2); std::cout << "Discrete Hausdorff Distance: " << res << std::endl; return 0; }

Output:

Discrete Hausdorff Distance: 1.0