boofcv.alg.feature.orientation.impl

Class ImplOrientationImageAverageIntegral<T extends boofcv.struct.image.ImageGray,G extends boofcv.struct.sparse.GradientValue>

java.lang.Object

boofcv.alg.feature.orientation.OrientationIntegralBase<T,G>

boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral<T,G>

All Implemented Interfaces:

OrientationIntegral<T>, RegionOrientation

public class ImplOrientationImageAverageIntegral<T extends boofcv.struct.image.ImageGray,G extends boofcv.struct.sparse.GradientValue>
extends OrientationIntegralBase<T,G>

Estimates the orientation of a region using a "derivative free" method. Points are sampled using an integral image.

Field Summary

Fields

Modifier and Type	Field and Description
protected boofcv.struct.convolve.Kernel2D_F64	kerCosine
protected boofcv.struct.convolve.Kernel2D_F64	kerSine

Fields inherited from class boofcv.alg.feature.orientation.OrientationIntegralBase

g, ii, kernelWidth, objectRadiusToScale, period, sampleRadius, sampleWidth, scale, weights

Constructor Summary

Constructors

Constructor and Description
ImplOrientationImageAverageIntegral(double radiusToScale, int sampleRadius, double period, int sampleWidth, double weightSigma, java.lang.Class<T> imageType)

Method Summary

Modifier and Type	Method and Description
double	compute(double c_x, double c_y) Computes the orientation of a region about its center.
protected double	computeUnweighted(double tl_x, double tl_y, double samplePeriod)
protected double	computeWeighted(double tl_x, double tl_y, double samplePeriod)
void	setImage(T integralImage) Specifies input image data for estimating orientation.
void	setObjectRadius(double radius) Specifies the circle's radius that the orientation should be

Methods inherited from class boofcv.alg.feature.orientation.OrientationIntegralBase

getImageType

Methods inherited from class java.lang.Object

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

Field Detail

kerCosine

protected boofcv.struct.convolve.Kernel2D_F64 kerCosine

kerSine

protected boofcv.struct.convolve.Kernel2D_F64 kerSine

Constructor Detail

ImplOrientationImageAverageIntegral

public ImplOrientationImageAverageIntegral(double radiusToScale,
                                           int sampleRadius,
                                           double period,
                                           int sampleWidth,
                                           double weightSigma,
                                           java.lang.Class<T> imageType)

Parameters:

sampleRadius - Radius of the region being considered in terms of Wavelet samples. Typically 6.

weightSigma - Sigma for weighting distribution. Zero for unweighted.

Method Detail

setImage

public void setImage(T integralImage)

Description copied from interface: OrientationIntegral

Specifies input image data for estimating orientation.

Specified by:

setImage in interface OrientationIntegral<T extends boofcv.struct.image.ImageGray>

Overrides:

setImage in class OrientationIntegralBase<T extends boofcv.struct.image.ImageGray,G extends boofcv.struct.sparse.GradientValue>

Parameters:

integralImage - Input image transformed into an integral image.

setObjectRadius

public void setObjectRadius(double radius)

Description copied from interface: RegionOrientation

Specifies the circle's radius that the orientation should be

Specified by:

setObjectRadius in interface RegionOrientation

Overrides:

setObjectRadius in class OrientationIntegralBase<T extends boofcv.struct.image.ImageGray,G extends boofcv.struct.sparse.GradientValue>

Parameters:

radius - Object's radius.

compute

public double compute(double c_x,
                      double c_y)

Description copied from interface: RegionOrientation

Computes the orientation of a region about its center.

Parameters:

c_x - Center of the region in image pixels.

c_y - Center of the region in image pixels.

Returns:

Orientation in radians. Angle zero points along x-axis and pi/2 along y-axis.

computeUnweighted

protected double computeUnweighted(double tl_x,
                                   double tl_y,
                                   double samplePeriod)

computeWeighted

protected double computeWeighted(double tl_x,
                                 double tl_y,
                                 double samplePeriod)