Package boofcv.alg.feature.detect.extract

Interface Summary

Interface	Description
NonMaxBlock.Search
NonMaxCandidate.Search	Interface for local search algorithm around the candidates

Class Summary

Class	Description
NonMaxBlock	Non-maximum extractor based on the block algorithm in [1].
NonMaxBlock_MT	Concurrent implementation of NonMaxBlock_MT.
NonMaxBlockSearchRelaxed	Implementation of NonMaxBlock which implements a relaxed maximum rule.
NonMaxBlockSearchRelaxed.Max
NonMaxBlockSearchRelaxed.Min
NonMaxBlockSearchRelaxed.MinMax
NonMaxBlockSearchStrict	Implementation of NonMaxBlock which implements a strict maximum rule.
NonMaxBlockSearchStrict.Max
NonMaxBlockSearchStrict.Min
NonMaxBlockSearchStrict.MinMax
NonMaxCandidate	Performs a sparse search for local minimums/maximums by only examine around candidates.
NonMaxCandidate_MT	Concurrent implementation of NonMaxCandidate.
NonMaxCandidate.Relaxed	Search with a relaxes rule.
NonMaxCandidate.Strict	Search with a strict rule <
NonMaxExtractorNaive	Extracts corners at local maximums that are above a threshold.
SelectNBestFeatures	Selects and sorts up to the N best features based on their intensity.
ThresholdCornerExtractor	All pixels which have an intensity above the specified threshold are considered to be features.