boofcv.alg.shapes.ellipse

Class SnapToEllipseEdge<T extends boofcv.struct.image.ImageGray>

java.lang.Object

boofcv.alg.shapes.edge.BaseIntegralEdge<T>

boofcv.alg.shapes.ellipse.SnapToEllipseEdge<T>

public class SnapToEllipseEdge<T extends boofcv.struct.image.ImageGray>
extends BaseIntegralEdge<T>

Refines an initial estimate of an elipse using a subpixel contour technique. A local line integral around each point is used to determine how important each point is. The contour being

Field Summary

Fields

Modifier and Type	Field and Description
protected double	convergenceTol
protected georegression.fitting.ellipse.FitEllipseWeightedAlgebraic	fitter
protected int	maxIterations
protected int	numSampleContour
protected georegression.struct.shapes.EllipseRotated_F64	previous
protected int	radialSamples
protected org.ddogleg.struct.FastQueue<georegression.struct.point.Point2D_F64>	samplePts
protected org.ddogleg.struct.GrowQueue_F64	weights

Fields inherited from class boofcv.alg.shapes.edge.BaseIntegralEdge

integral, integralImage

Constructor Summary

Constructors

Constructor and Description
SnapToEllipseEdge(int numSampleContour, int radialSamples, java.lang.Class<T> imageType) Constructor with configuration

Method Summary

Modifier and Type	Method and Description
protected static double	change(georegression.struct.shapes.EllipseRotated_F64 a, georegression.struct.shapes.EllipseRotated_F64 b) Computes a numerical value for the difference in parameters between the two ellipses
double	getConvergenceTol()
int	getMaxIterations()
boolean	process(georegression.struct.shapes.EllipseRotated_F64 input, georegression.struct.shapes.EllipseRotated_F64 refined) Refines provided list by snapping it to edges found in the image
void	setConvergenceTol(double convergenceTol)
void	setMaxIterations(int maxIterations)

Methods inherited from class boofcv.alg.shapes.edge.BaseIntegralEdge

getInputType, setImage, setTransform

Methods inherited from class java.lang.Object

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

Field Detail

maxIterations

protected int maxIterations

convergenceTol

protected double convergenceTol

numSampleContour

protected int numSampleContour

radialSamples

protected int radialSamples

weights

protected org.ddogleg.struct.GrowQueue_F64 weights

samplePts

protected org.ddogleg.struct.FastQueue<georegression.struct.point.Point2D_F64> samplePts

fitter

protected georegression.fitting.ellipse.FitEllipseWeightedAlgebraic fitter

previous

protected georegression.struct.shapes.EllipseRotated_F64 previous

Constructor Detail

SnapToEllipseEdge

public SnapToEllipseEdge(int numSampleContour,
                         int radialSamples,
                         java.lang.Class<T> imageType)

Constructor with configuration

Parameters:

numSampleContour - Maximum number of iterations it will performance

radialSamples - When the difference between two ellipses is less than this amount stop iterating

imageType - Type of gray-scale input image

Method Detail

process

public boolean process(georegression.struct.shapes.EllipseRotated_F64 input,
                       georegression.struct.shapes.EllipseRotated_F64 refined)

Refines provided list by snapping it to edges found in the image

Parameters:

input - (Output) Close approximation of the ellipse in the image

refined - (Output) Storage for refined estimate. Can be same instance as input

Returns:

True if a refined estimate could be found, false if it failed

change

protected static double change(georegression.struct.shapes.EllipseRotated_F64 a,
                               georegression.struct.shapes.EllipseRotated_F64 b)

Computes a numerical value for the difference in parameters between the two ellipses

getMaxIterations

public int getMaxIterations()

setMaxIterations

public void setMaxIterations(int maxIterations)

getConvergenceTol

public double getConvergenceTol()

setConvergenceTol

public void setConvergenceTol(double convergenceTol)