Uses of Package
boofcv.alg.feature.detect.extract

Packages that use boofcv.alg.feature.detect.extract

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

Classes in boofcv.alg.feature.detect.extract used by boofcv.abst.feature.detect.extract

Class and Description
NonMaxBlock Non-maximum extractor based on the block algorithm in [1].
NonMaxCandidate Performs a sparse search for local minimums/maximums by only examine around candidates.
NonMaxExtractorNaive Extracts corners at local maximums that are above a threshold.

Classes in boofcv.alg.feature.detect.extract used by boofcv.alg.feature.detect.extract

Class and Description
NonMaxBlock Non-maximum extractor based on the block algorithm in [1].
NonMaxBlockRelaxed Implementation of NonMaxBlock which implements a relaxed maximum rule.
NonMaxBlockStrict Implementation of NonMaxBlock which implements a strict maximum rule.
NonMaxCandidate Performs a sparse search for local minimums/maximums by only examine around candidates.

Classes in boofcv.alg.feature.detect.extract used by boofcv.alg.feature.detect.interest

Class and Description
SelectNBestFeatures Selects and sorts up to the N best features based on their intensity.