boofcv.abst.feature.detect.intensity

Class WrapperHessianBlobIntensity<I extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray>

java.lang.Object

boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity<I,D>

boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity<I,D>

All Implemented Interfaces:

GeneralFeatureIntensity<I,D>

public class WrapperHessianBlobIntensity<I extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray>
extends BaseGeneralFeatureIntensity<I,D>

Wrapper around HessianBlobIntensity for GeneralFeatureIntensity.

Constructor Summary

Constructors

Constructor and Description
WrapperHessianBlobIntensity(HessianBlobIntensity.Type type, java.lang.Class<D> derivType)

Method Summary

Modifier and Type	Method and Description
boofcv.struct.QueueCorner	getCandidatesMax() (Optional) Returns a list of candidate for local maximums.
boofcv.struct.QueueCorner	getCandidatesMin() (Optional) Returns a list of candidate for local minimums.
int	getIgnoreBorder() No ignore border unless the derivative has an ignore border
boolean	getRequiresGradient() If the image gradient is required for calculations.
boolean	getRequiresHessian() Is the image's second derivative required?
boolean	hasCandidates() If true there is a list of candidate corners for minimums and/or maximums.
boolean	localMaximums() Indicates if local maximums are features or not.
boolean	localMinimums() Indicates if local minimums are features or not.
void	process(I image, D derivX, D derivY, D derivXX, D derivYY, D derivXY) Computes the corner's intensity.

Methods inherited from class boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity

getIntensity, init

Methods inherited from class java.lang.Object

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

Constructor Detail

WrapperHessianBlobIntensity

public WrapperHessianBlobIntensity(HessianBlobIntensity.Type type,
                                   java.lang.Class<D> derivType)

Method Detail

process

public void process(I image,
                    D derivX,
                    D derivY,
                    D derivXX,
                    D derivYY,
                    D derivXY)

Description copied from interface: GeneralFeatureIntensity

Computes the corner's intensity. Before computing the various image derivatives call GeneralFeatureIntensity.getRequiresGradient() and GeneralFeatureIntensity.getRequiresHessian() to see if they are needed.

Parameters:

image - Original input image

derivX - First derivative x-axis

derivY - First derivative x-axis

derivXX - Second derivative x-axis x-axis

derivYY - Second derivative x-axis y-axis

derivXY - Second derivative x-axis y-axis

getCandidatesMin

public boofcv.struct.QueueCorner getCandidatesMin()

Description copied from interface: GeneralFeatureIntensity

(Optional) Returns a list of candidate for local minimums.

Returns:

List of potential features. If not supported then null is returned.

getCandidatesMax

public boofcv.struct.QueueCorner getCandidatesMax()

Description copied from interface: GeneralFeatureIntensity

(Optional) Returns a list of candidate for local maximums.

Returns:

List of potential features. If not supported then null is returned.

getRequiresGradient

public boolean getRequiresGradient()

Description copied from interface: GeneralFeatureIntensity

If the image gradient is required for calculations.

Returns:

true if the image gradient is required.

getRequiresHessian

public boolean getRequiresHessian()

Description copied from interface: GeneralFeatureIntensity

Is the image's second derivative required?

Returns:

is the hessian required.

hasCandidates

public boolean hasCandidates()

Description copied from interface: GeneralFeatureIntensity

If true there is a list of candidate corners for minimums and/or maximums.

getIgnoreBorder

public int getIgnoreBorder()

No ignore border unless the derivative has an ignore border

Returns:

Size of unprocessed border around the image.

localMinimums

public boolean localMinimums()

Description copied from interface: GeneralFeatureIntensity

Indicates if local minimums are features or not.

Returns:

true for local minimum features.

localMaximums

public boolean localMaximums()

Description copied from interface: GeneralFeatureIntensity

Indicates if local maximums are features or not.

Returns:

true for local maximum features.