java.lang.Object
boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity<I,D>
boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity<I,D>
- All Implemented Interfaces:
GeneralFeatureIntensity<I,
D>
public class WrapperKitRosCornerIntensity<I extends ImageGray<I>,D extends ImageGray<D>>
extends BaseGeneralFeatureIntensity<I,D>
Wrapper around children of
GradientCornerIntensity
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescription@Nullable ListIntPoint2D
(Optional) Returns a list of candidate for local maximums.@Nullable ListIntPoint2D
(Optional) Returns a list of candidate for local minimums.int
There is no ignore border, unless the derivative that it is computed from has an ignore border.boolean
If the image gradient is required for calculations.boolean
Is the image's second derivative required?boolean
If true there is a list of candidate corners for minimums and/or maximums.boolean
Indicates if local maximums are features or not.boolean
Indicates if local minimums are features or not.void
Computes the corner's intensity.Methods inherited from class boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity
getDerivType, getImageType, getIntensity, init
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Constructor Details
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WrapperKitRosCornerIntensity
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Method Details
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process
public void process(I image, @Nullable D derivX, @Nullable D derivY, @Nullable D derivXX, @Nullable D derivYY, @Nullable D derivXY) Description copied from interface:GeneralFeatureIntensity
Computes the corner's intensity. Before computing the various image derivatives callGeneralFeatureIntensity.getRequiresGradient()
andGeneralFeatureIntensity.getRequiresHessian()
to see if they are needed.- Parameters:
image
- Original input imagederivX
- First derivative x-axisderivY
- First derivative x-axisderivXX
- Second derivative x-axis x-axisderivYY
- Second derivative x-axis y-axisderivXY
- Second derivative x-axis y-axis
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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.
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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.
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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.
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getRequiresHessian
public boolean getRequiresHessian()Description copied from interface:GeneralFeatureIntensity
Is the image's second derivative required?- Returns:
- is the hessian required.
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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()There is no ignore border, unless the derivative that it is computed from has an ignore border.- Returns:
- Size of unprocessed border around the image.
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localMinimums
public boolean localMinimums()Description copied from interface:GeneralFeatureIntensity
Indicates if local minimums are features or not.- Returns:
- true for local minimum features.
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localMaximums
public boolean localMaximums()Description copied from interface:GeneralFeatureIntensity
Indicates if local maximums are features or not.- Returns:
- true for local maximum features.
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