Package boofcv.abst.feature.detect.extract

Class NonMaxLimiter

java.lang.Object

boofcv.abst.feature.detect.extract.NonMaxLimiter

public class NonMaxLimiter
extends Object

Adds the ability to specify the maximum number of points that you wish to return. The selected points will be sorted by feature intensity. If maximums and minimums are found then the total number refers to the total combined number of features. The intensity that it sorts by is the absolute value.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	NonMaxLimiter.LocalExtreme	Data structure which provides information on a local extremum.

Constructor Summary

Constructors

Constructor	Description
NonMaxLimiter(NonMaxSuppression nonmax, FeatureSelectLimitIntensity<NonMaxLimiter.LocalExtreme> selector, int maxTotalFeatures)	Configures the limiter

Method Summary

Modifier and Type	Method	Description
FastAccess<NonMaxLimiter.LocalExtreme>	getFeatures()
void	process(GrayF32 intensity)	Extracts local max and/or min from the intensity image.

Methods inherited from class java.lang.Object

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

Constructor Details

NonMaxLimiter

public NonMaxLimiter(NonMaxSuppression nonmax,
 FeatureSelectLimitIntensity<NonMaxLimiter.LocalExtreme> selector,
 int maxTotalFeatures)

Configures the limiter

Parameters:

nonmax - Non-maximum suppression algorithm

maxTotalFeatures - The total number of allowed features it can return. Set to a value ≤ 0 to disable.

Method Details

process

public void process(GrayF32 intensity)

Extracts local max and/or min from the intensity image. If more than the maximum features are found then only the most intense ones will be returned

Parameters:

intensity - Feature image intensity

getFeatures

public FastAccess<NonMaxLimiter.LocalExtreme> getFeatures()