boofcv.abst.feature.detect.intensity

Interface GeneralFeatureIntensity<I extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray>

Type Parameters:

I - Input image type.

D - Image derivative type.

All Known Implementing Classes:

BaseGeneralFeatureIntensity, WrapperFastCornerIntensity, WrapperGradientCornerIntensity, WrapperHessianBlobIntensity, WrapperKitRosCornerIntensity, WrapperLaplacianBlobIntensity, WrapperMedianCornerIntensity

public interface GeneralFeatureIntensity<I extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray>

Extracts corners from a the image and or its gradient. This is a generalized interface and lacks some of the functionality of more specialized classes.

See Also:

FeatureIntensity, NonMaxSuppression

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() Pixels within this distance from the image border are not processed.
boofcv.struct.image.GrayF32	getIntensity() Returns an image containing an intensity mapping showing how corner like each pixel is.
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.

Method Detail

process

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

Computes the corner's intensity. Before computing the various image derivatives call getRequiresGradient() and 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

getIntensity

boofcv.struct.image.GrayF32 getIntensity()

Returns an image containing an intensity mapping showing how corner like each pixel is. Unprocessed image borders will have a value of zero.

Returns:

Corner intensity image.

getCandidatesMin

boofcv.struct.QueueCorner getCandidatesMin()

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

Returns:

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

getCandidatesMax

boofcv.struct.QueueCorner getCandidatesMax()

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

Returns:

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

getRequiresGradient

boolean getRequiresGradient()

If the image gradient is required for calculations.

Returns:

true if the image gradient is required.

getRequiresHessian

boolean getRequiresHessian()

Is the image's second derivative required?

Returns:

is the hessian required.

hasCandidates

boolean hasCandidates()

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

getIgnoreBorder

int getIgnoreBorder()

Pixels within this distance from the image border are not processed.

Returns:

Size of unprocessed border around the image.

localMinimums

boolean localMinimums()

Indicates if local minimums are features or not.

Returns:

true for local minimum features.

localMaximums

boolean localMaximums()

Indicates if local maximums are features or not.

Returns:

true for local maximum features.