Package stitching.model

Class TileConfiguration

java.lang.Object

stitching.model.TileConfiguration

public class TileConfiguration
extends Object

A configuration of rigidly transformed tiles.

Add all tiles that build a common interconnectivity graph to one configuration, fix at least one of the tiles and optimize the configuration.

Version:

0.2b

Author:

Stephan Saalfeld, Stephan Preibisch (small additions)

Constructor Summary

Constructors

Constructor	Description
TileConfiguration()

Method Summary

Modifier and Type	Method	Description
final void	addTile(Tile t)	Add a single tile.
final void	addTiles(Collection<Tile> t)	Add a collection of tiles.
final void	fixTile(Tile t)	Fix a single tile.
final double	getAvgError()
final ArrayList<Tile>	getFixedTiles()
final double	getMaxError()
final double	getMinError()
final ArrayList<Tile>	getTiles()
final Tile	getWorstError()
void	optimize(float maxAllowedError, int maxIterations, int maxPlateauwidth)	Minimize the displacement of all correspondence pairs of all tiles.

Methods inherited from class java.lang.Object

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

Constructor Details

TileConfiguration

public TileConfiguration()

Method Details

getTiles

public final ArrayList<Tile> getTiles()

getFixedTiles

public final ArrayList<Tile> getFixedTiles()

getMinError

public final double getMinError()

getMaxError

public final double getMaxError()

getWorstError

public final Tile getWorstError()

getAvgError

public final double getAvgError()

addTile

public final void addTile(Tile t)

Add a single tile.

Parameters:

t -

addTiles

public final void addTiles(Collection<Tile> t)

Add a collection of tiles.

Parameters:

t -

fixTile

public final void fixTile(Tile t)

Fix a single tile.

Parameters:

t -

optimize

public void optimize(float maxAllowedError,
 int maxIterations,
 int maxPlateauwidth)
              throws NotEnoughDataPointsException

Minimize the displacement of all correspondence pairs of all tiles.

Parameters:

maxAllowedError - do not accept convergence if error is > max_error

maxIterations - stop after that many iterations even if there was no minimum found

maxPlateauwidth - convergence is reached if the average slope in an interval of this size is 0.0 (in double accuracy). This prevents the algorithm from stopping at plateaus smaller than this value.

Throws:

NotEnoughDataPointsException