Package boofcv.alg.feature.detect.selector

Class FeatureSelectRandom<Point>

java.lang.Object

boofcv.alg.feature.detect.selector.FeatureSelectRandom<Point>

All Implemented Interfaces:

FeatureSelectLimit<Point>

public class FeatureSelectRandom<Point>
extends Object
implements FeatureSelectLimit<Point>

Randomly selects features up to the limit from the set of detected. This is actually not as bad of an approach as it might seem. Could be viewed as a less effective version of FeatureSelectUniformBest.

Constructor Summary

Constructors

Constructor	Description
FeatureSelectRandom(long seed)

Method Summary

Modifier and Type	Method	Description
void	select(int imageWidth, int imageHeight, @Nullable FastAccess<Point> prior, FastAccess<Point> detected, int limit, FastArray<Point> selected)	Selects features inside the image.

Methods inherited from class java.lang.Object

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

Constructor Details

FeatureSelectRandom

public FeatureSelectRandom(long seed)

Method Details

select

public void select(int imageWidth,
 int imageHeight,
 @Nullable
 @Nullable FastAccess<Point> prior,
 FastAccess<Point> detected,
 int limit,
 FastArray<Point> selected)

Description copied from interface: FeatureSelectLimit

Selects features inside the image.

Specified by:

select in interface FeatureSelectLimit<Point>

Parameters:

imageWidth - Width of the image the features were detected in

imageHeight - Height of the image the features were detected in

prior - (Input) Locations of previously detected features

detected - (Input) Locations of newly detected features

limit - (Input) The maximum number of new features detected

selected - (Output) Selected features. Element count not exceed the limit. Reset on every call.