Package boofcv.alg.feature.detect.selector

Class FeatureSelectN<Point>

java.lang.Object

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

All Implemented Interfaces:

FeatureSelectLimit<Point>

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

Selects features periodically in the order they were detected until it hits the limit. This is better than just selecting the first N since features tend to ordered in a very specific way, e.g. top to bottom. you're more likely to get a spread out less biased set this way

Constructor Summary

Constructors

Constructor	Description
FeatureSelectN()

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

FeatureSelectN

public FeatureSelectN()

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.