Uses of Class
boofcv.struct.QueueCorner

Packages that use QueueCorner

Package	Description
boofcv.abst.feature.detect.extract
boofcv.abst.tracker
boofcv.alg.feature.detect.extract
boofcv.alg.feature.detect.interest

Uses of QueueCorner in boofcv.abst.feature.detect.extract

Methods in boofcv.abst.feature.detect.extract with parameters of type QueueCorner

Modifier and Type	Method	Description
void	NonMaxSuppression.process(GrayF32 intensity, @Nullable ListIntPoint2D candidateMin, @Nullable ListIntPoint2D candidateMax, @Nullable QueueCorner foundMin, @Nullable QueueCorner foundMax)	Process a feature intensity image to extract the point features.
void	WrapperNonMaxCandidate.process(GrayF32 intensity, @Nullable ListIntPoint2D candidateMin, @Nullable ListIntPoint2D candidateMax, @Nullable QueueCorner foundMin, @Nullable QueueCorner foundMax)
void	WrapperNonMaximumBlock.process(GrayF32 intensity, @Nullable ListIntPoint2D candidateMin, @Nullable ListIntPoint2D candidateMax, @Nullable QueueCorner foundMin, @Nullable QueueCorner foundMax)
void	WrapperNonMaximumNaive.process(GrayF32 intensity, @Nullable ListIntPoint2D candidateMin, @Nullable ListIntPoint2D candidateMax, @Nullable QueueCorner foundMin, @Nullable QueueCorner foundMax)

Uses of QueueCorner in boofcv.abst.tracker

Methods in boofcv.abst.tracker with parameters of type QueueCorner

Modifier and Type	Method	Description
protected void	PointTrackerKltPyramid_MT.addToTracks(float scaleBottom, QueueCorner found)
protected void	PointTrackerKltPyramid.addToTracks(float scaleBottom, QueueCorner found)

Uses of QueueCorner in boofcv.alg.feature.detect.extract

Fields in boofcv.alg.feature.detect.extract declared as QueueCorner

Modifier and Type	Field	Description
final QueueCorner	NonMaxCandidate_MT.SearchData.corners
final QueueCorner	NonMaxBlock_MT.SearchData.cornersMax
final QueueCorner	NonMaxBlock_MT.SearchData.cornersMin

Methods in boofcv.alg.feature.detect.extract with parameters of type QueueCorner

Modifier and Type	Method	Description
void	NonMaxBlock.Search.initialize(boofcv.alg.feature.detect.extract.NonMaxBlock.Configuration configuration, GrayF32 image, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax)	Call before each time a search is started on a new image
void	NonMaxBlockSearchRelaxed.initialize(boofcv.alg.feature.detect.extract.NonMaxBlock.Configuration configuration, GrayF32 image, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax)
void	NonMaxBlockSearchStrict.initialize(boofcv.alg.feature.detect.extract.NonMaxBlock.Configuration configuration, GrayF32 image, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax)
void	NonMaxBlock_MT.process(GrayF32 intensityImage, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax)	Detects local minimums and/or maximums in the provided intensity image.
void	NonMaxBlock.process(GrayF32 intensityImage, @Nullable QueueCorner localMin, @Nullable QueueCorner localMax)	Detects local minimums and/or maximums in the provided intensity image.
void	NonMaxExtractorNaive.process(GrayF32 intensityImage, QueueCorner peaks)
void	ThresholdCornerExtractor.process(GrayF32 intensity, QueueCorner corners)	Selects pixels as corners which are above the threshold.

Uses of QueueCorner in boofcv.alg.feature.detect.interest

Fields in boofcv.alg.feature.detect.interest declared as QueueCorner

Modifier and Type	Field	Description
protected @Nullable QueueCorner	GeneralFeatureDetector.exclude	Corners which should be excluded from detection
protected QueueCorner	GeneralFeatureDetector.found
protected QueueCorner	GeneralFeatureDetector.maximums
protected QueueCorner	GeneralFeatureDetector.minimums

Methods in boofcv.alg.feature.detect.interest that return QueueCorner

Modifier and Type	Method	Description
QueueCorner	EasyGeneralFeatureDetector.getMaximums()
QueueCorner	EasyGeneralFeatureDetector.getMinimums()

Methods in boofcv.alg.feature.detect.interest with parameters of type QueueCorner

Modifier and Type	Method	Description
void	EasyGeneralFeatureDetector.detect(T input, @Nullable QueueCorner exclude)	Detect features inside the image.