boofcv.abst.feature.detect.extract

Class WrapperNonMaximumBlock

java.lang.Object

boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock

All Implemented Interfaces:

NonMaxSuppression

public class WrapperNonMaximumBlock
extends java.lang.Object
implements NonMaxSuppression

Wrapper around the NonMaxExtractorNaive class.

Constructor Summary

Constructors

Constructor and Description
WrapperNonMaximumBlock(NonMaxBlock alg)

Method Summary

Modifier and Type	Method and Description
boolean	canDetectMaximums() True if it can detect local maximums.
boolean	canDetectMinimums() True if it can detect local minimums.
int	getIgnoreBorder() Returns the size of the image border.
int	getSearchRadius() Describes how large the region is that is being searched.
float	getThresholdMaximum() Minimum value for detected maximums
float	getThresholdMinimum() Maximum value for detected minimums
boolean	getUsesCandidates() Returns true if the algorithm requires a candidate list of corners.
void	process(GrayF32 intensity, QueueCorner candidateMin, QueueCorner candidateMax, QueueCorner foundMin, QueueCorner foundMax) Process a feature intensity image to extract the point features.
void	setIgnoreBorder(int border) Defines the region inside the image in which a pixel can be an extreme.
void	setSearchRadius(int radius) Species the search radius for the feature
void	setThresholdMaximum(float threshold) Change the feature selection threshold for finding local maximums.
void	setThresholdMinimum(float threshold) Change the feature selection threshold for finding local minimums.

Methods inherited from class java.lang.Object

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

Constructor Detail

WrapperNonMaximumBlock

public WrapperNonMaximumBlock(NonMaxBlock alg)

Method Detail

process

public void process(GrayF32 intensity,
                    QueueCorner candidateMin,
                    QueueCorner candidateMax,
                    QueueCorner foundMin,
                    QueueCorner foundMax)

Description copied from interface: NonMaxSuppression

Process a feature intensity image to extract the point features. If a pixel has an intensity value == -Float.MAX_VALUE or Float.MAX_VALUE it will not be considered for a local min or max, respectively. If an algorithm only detect local minimums or maximums and null can be passed in for unused lists. This is the recommended procedure since it will force an exception to be thrown if a mistake was made.

Specified by:

process in interface NonMaxSuppression

Parameters:

intensity - (Input) Feature intensity image. Not modified.

candidateMin - (Input) (Optional) List of candidate local minimum features. Can be null if not used.

candidateMax - (Input) (Optional) List of candidate local maximum features Can be null if not used.

foundMin - (Output) Storage for found minimums. Can be null if not used.

foundMax - (Output) Storage for found maximums. Can be null if not used.

getThresholdMinimum

public float getThresholdMinimum()

Description copied from interface: NonMaxSuppression

Maximum value for detected minimums

Specified by:

getThresholdMinimum in interface NonMaxSuppression

Returns:

threshold for feature selection

getThresholdMaximum

public float getThresholdMaximum()

Description copied from interface: NonMaxSuppression

Minimum value for detected maximums

Specified by:

getThresholdMaximum in interface NonMaxSuppression

Returns:

threshold for feature selection

setThresholdMinimum

public void setThresholdMinimum(float threshold)

Description copied from interface: NonMaxSuppression

Change the feature selection threshold for finding local minimums.

Specified by:

setThresholdMinimum in interface NonMaxSuppression

Parameters:

threshold - The new selection threshold.

setThresholdMaximum

public void setThresholdMaximum(float threshold)

Description copied from interface: NonMaxSuppression

Change the feature selection threshold for finding local maximums.

Specified by:

setThresholdMaximum in interface NonMaxSuppression

Parameters:

threshold - The new selection threshold.

getIgnoreBorder

public int getIgnoreBorder()

Description copied from interface: NonMaxSuppression

Returns the size of the image border.

Specified by:

getIgnoreBorder in interface NonMaxSuppression

Returns:

border size

setIgnoreBorder

public void setIgnoreBorder(int border)

Description copied from interface: NonMaxSuppression

Defines the region inside the image in which a pixel can be an extreme. valid region is: border ≤ x < width-border AND border ≤ y < height-border

Specified by:

setIgnoreBorder in interface NonMaxSuppression

Parameters:

border - Border size in pixels.

getUsesCandidates

public boolean getUsesCandidates()

Description copied from interface: NonMaxSuppression

Returns true if the algorithm requires a candidate list of corners.

Specified by:

getUsesCandidates in interface NonMaxSuppression

Returns:

true if candidates are required.

setSearchRadius

public void setSearchRadius(int radius)

Description copied from interface: NonMaxSuppression

Species the search radius for the feature

Specified by:

setSearchRadius in interface NonMaxSuppression

Parameters:

radius - Radius in pixels

getSearchRadius

public int getSearchRadius()

Description copied from interface: NonMaxSuppression

Describes how large the region is that is being searched. The radius is the number of pixels away from the center.

Specified by:

getSearchRadius in interface NonMaxSuppression

Returns:

Search radius

canDetectMaximums

public boolean canDetectMaximums()

Description copied from interface: NonMaxSuppression

True if it can detect local maximums.

Specified by:

canDetectMaximums in interface NonMaxSuppression

canDetectMinimums

public boolean canDetectMinimums()

Description copied from interface: NonMaxSuppression

True if it can detect local minimums.

Specified by:

canDetectMinimums in interface NonMaxSuppression