Package boofcv.alg.fiducial.calib.circle

Class DetectCircleGrid<T extends ImageGray<T>>

java.lang.Object

boofcv.alg.fiducial.calib.circle.DetectCircleGrid<T>

Direct Known Subclasses:

DetectCircleHexagonalGrid, DetectCircleRegularGrid

public abstract class DetectCircleGrid<T extends ImageGray<T>>
extends Object

Base class for grid based circle fiducials.

Field Summary

Fields

Modifier and Type	Field	Description
protected BinaryEllipseDetector<T>	ellipseDetector
protected int	numCols
protected int	numRows

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	DetectCircleGrid(int numRows, int numCols, InputToBinary<T> inputToBinary, BinaryEllipseDetector<T> ellipseDetector, EllipsesIntoClusters clustering, EllipseClustersIntoGrid grider)	Creates and configures the detector

Method Summary

Modifier and Type	Method	Description
protected abstract void	configureContourDetector(T gray)	Configures the contour detector based on the image size.
GrayU8	getBinary()
EllipsesIntoClusters	getClustering()
List<List<EllipsesIntoClusters.Node>>	getClusters()
List<List<EllipsesIntoClusters.Node>>	getClustersPruned()
int	getColumns()
BinaryEllipseDetector<T>	getEllipseDetector()
EllipseClustersIntoGrid	getGrider()
List<EllipseClustersIntoGrid.Grid>	getGrids()	List of grids found inside the image
int	getRows()
boolean	isVerbose()
void	process(T gray)	Processes the image and finds grids.
protected abstract void	putGridIntoCanonical(EllipseClustersIntoGrid.Grid g)	Puts the grid into a canonical orientation
void	setVerbose(boolean verbose)
protected abstract int	totalEllipses(int numRows, int numCols)	Computes the number of ellipses on the grid

Methods inherited from class java.lang.Object

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

Field Details

ellipseDetector

protected BinaryEllipseDetector<T extends ImageGray<T>> ellipseDetector

numRows

protected int numRows

numCols

protected int numCols

Constructor Details

DetectCircleGrid

protected DetectCircleGrid(int numRows,
 int numCols,
 InputToBinary<T> inputToBinary,
 BinaryEllipseDetector<T> ellipseDetector,
 EllipsesIntoClusters clustering,
 EllipseClustersIntoGrid grider)

Creates and configures the detector

Parameters:

numRows - number of rows in grid

numCols - number of columns in grid

inputToBinary - Converts the input image into a binary image

ellipseDetector - Detects ellipses inside the image

clustering - Finds clusters of ellipses

Method Details

process

public void process(T gray)

Processes the image and finds grids. To retrieve the found grids call getGrids()

Parameters:

gray - Input image

configureContourDetector

protected abstract void configureContourDetector(T gray)

Configures the contour detector based on the image size. Setting a maximum contour and turning off recording of inner contours and improve speed and reduce the memory foot print significantly.

totalEllipses

protected abstract int totalEllipses(int numRows,
 int numCols)

Computes the number of ellipses on the grid

putGridIntoCanonical

protected abstract void putGridIntoCanonical(EllipseClustersIntoGrid.Grid g)

Puts the grid into a canonical orientation

getEllipseDetector

public BinaryEllipseDetector<T> getEllipseDetector()

getGrider

public EllipseClustersIntoGrid getGrider()

getClustering

public EllipsesIntoClusters getClustering()

getClusters

public List<List<EllipsesIntoClusters.Node>> getClusters()

getClustersPruned

public List<List<EllipsesIntoClusters.Node>> getClustersPruned()

getGrids

public List<EllipseClustersIntoGrid.Grid> getGrids()

List of grids found inside the image

getBinary

public GrayU8 getBinary()

getColumns

public int getColumns()

getRows

public int getRows()

isVerbose

public boolean isVerbose()

setVerbose

public void setVerbose(boolean verbose)