de.lmu.ifi.dbs.elki.math
Class ConvexHull2D

java.lang.Object
  de.lmu.ifi.dbs.elki.math.ConvexHull2D

@Reference(authors="Paul Graham",
           title="An Efficient Algorithm for Determining the Convex Hull of a Finite Planar Set",
           booktitle="Information Processing Letters 1")
public class ConvexHull2D
extends Object

Classes to compute the convex hull of a set of points in 2D, using the classic Grahams scan. Also computes a bounding box.

Field Summary

private double	factor Scaling factor if we have very small polygons.
private DoubleMinMax	minmaxX Min/Max in X
private DoubleMinMax	minmaxY Min/Max in Y
private boolean	ok Flag to indicate that the hull has been computed.
private List<Vector>	points The current set of points

Constructor Summary

ConvexHull2D()
Constructor.

Method Summary

void	add(Vector point) Add a single point to the list (this does not compute the hull!)
private void	computeConvexHull() Compute the convex hull.
private void	findStartingPoint() Find the starting point, and sort it to the beginning of the list.
Polygon	getHull() Compute the convex hull, and return the resulting polygon.
private double	getRX(Vector a, Vector origin) Get the relative X coordinate to the origin.
private double	getRY(Vector a, Vector origin) Get the relative Y coordinate to the origin.
private void	grahamScan() The actual graham scan main loop.
private boolean	isConvex(Vector a, Vector b, Vector c) Simple convexity test.
protected boolean	isLeft(Vector a, Vector b, Vector o) Test whether a point is left of the other wrt. the origin.
private double	mdist(Vector a, Vector b) Manhattan distance.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

points

private List<Vector> points

The current set of points

minmaxX

private DoubleMinMax minmaxX

Min/Max in X

minmaxY

private DoubleMinMax minmaxY

Min/Max in Y

ok

private boolean ok

Flag to indicate that the hull has been computed.

factor

private double factor

Scaling factor if we have very small polygons. TODO: needed? Does this actually improve things?

Constructor Detail

ConvexHull2D

public ConvexHull2D()

Constructor.

Method Detail

add

public void add(Vector point)

Add a single point to the list (this does not compute the hull!)

Parameters:

point - Point to add

computeConvexHull

private void computeConvexHull()

Compute the convex hull.

findStartingPoint

private void findStartingPoint()

Find the starting point, and sort it to the beginning of the list. The starting point must be on the outer hull. Any "skyline" point will do, e.g. the one with the lowest Y coordinate and for ties with the lowest X.

getRX

private final double getRX(Vector a,
                           Vector origin)

Get the relative X coordinate to the origin.

Parameters:

a -

origin - origin vector

Returns:

relative X coordinate

getRY

private final double getRY(Vector a,
                           Vector origin)

Get the relative Y coordinate to the origin.

Parameters:

a -

origin - origin vector

Returns:

relative Y coordinate

isLeft

protected final boolean isLeft(Vector a,
                               Vector b,
                               Vector o)

Test whether a point is left of the other wrt. the origin.

Parameters:

a - Vector A

b - Vector B

o - Origin vector

Returns:

true when left

mdist

private double mdist(Vector a,
                     Vector b)

Manhattan distance.

Parameters:

a - Vector A

b - Vector B

Returns:

Manhattan distance

isConvex

private final boolean isConvex(Vector a,
                               Vector b,
                               Vector c)

Simple convexity test.

Parameters:

a - Vector A

b - Vector B

c - Vector C

Returns:

convexity

grahamScan

private void grahamScan()

The actual graham scan main loop.

getHull

public Polygon getHull()

Compute the convex hull, and return the resulting polygon.

Returns:

Polygon of the hull