boofcv.factory.feature.detect.interest

Class FactoryDetectPoint

java.lang.Object

boofcv.factory.feature.detect.interest.FactoryDetectPoint

public class FactoryDetectPoint
extends java.lang.Object

Creates instances of GeneralFeatureDetector, which detects the location of point features inside an image.

NOTE: Sometimes the image border is ignored and some times it is not. If feature intensities are not computed along the image border then it will be full of zeros. In that case the ignore border region needs to be increased for non-max suppression or else it might generate a false positive.

Constructor Summary

Constructors

Constructor and Description
FactoryDetectPoint()

Method Summary

Modifier and Type	Method and Description
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createFast(ConfigFast configFast, ConfigGeneralDetector configDetector, java.lang.Class<T> imageType) Creates a Fast corner detector.
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createGeneral(GeneralFeatureIntensity<T,D> intensity, ConfigGeneralDetector config)
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createGeneral(GradientCornerIntensity<D> cornerIntensity, ConfigGeneralDetector config)
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createHarris(ConfigGeneralDetector configDetector, boolean weighted, java.lang.Class<D> derivType) Detects Harris corners.
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createHessian(HessianBlobIntensity.Type type, ConfigGeneralDetector configDetector, java.lang.Class<D> derivType) Creates a Hessian based blob detector.
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createKitRos(ConfigGeneralDetector configDetector, java.lang.Class<D> derivType) Detects Kitchen and Rosenfeld corners.
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createMedian(ConfigGeneralDetector configDetector, java.lang.Class<T> imageType) Creates a median filter corner detector.
static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D>	createShiTomasi(ConfigGeneralDetector configDetector, boolean weighted, java.lang.Class<D> derivType) Detects Shi-Tomasi corners.

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryDetectPoint

public FactoryDetectPoint()

Method Detail

createHarris

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createHarris(ConfigGeneralDetector configDetector,
                                                                                                                                         boolean weighted,
                                                                                                                                         java.lang.Class<D> derivType)

Detects Harris corners.

Parameters:

configDetector - Configuration for feature detector.

weighted - Is a Gaussian weight applied to the sample region? False is much faster.

derivType - Type of derivative image.

See Also:

HarrisCornerIntensity

createShiTomasi

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createShiTomasi(ConfigGeneralDetector configDetector,
                                                                                                                                            boolean weighted,
                                                                                                                                            java.lang.Class<D> derivType)

Detects Shi-Tomasi corners.

Parameters:

configDetector - Configuration for feature detector.

weighted - Is a Gaussian weight applied to the sample region? False is much faster.

derivType - Type of derivative image.

See Also:

ShiTomasiCornerIntensity

createKitRos

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createKitRos(ConfigGeneralDetector configDetector,
                                                                                                                                         java.lang.Class<D> derivType)

Detects Kitchen and Rosenfeld corners.

Parameters:

configDetector - Configuration for feature detector.

derivType - Type of derivative image.

See Also:

KitRosCornerIntensity

createFast

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createFast(ConfigFast configFast,
                                                                                                                                       ConfigGeneralDetector configDetector,
                                                                                                                                       java.lang.Class<T> imageType)

Creates a Fast corner detector.

Parameters:

configFast - Configuration for FAST feature detector

configDetector - Configuration for feature extractor.

imageType - Type of input image.

See Also:

FastCornerIntensity

createMedian

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createMedian(ConfigGeneralDetector configDetector,
                                                                                                                                         java.lang.Class<T> imageType)

Creates a median filter corner detector.

Parameters:

configDetector - Configuration for feature detector.

imageType - Type of input image.

See Also:

MedianCornerIntensity

createHessian

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createHessian(HessianBlobIntensity.Type type,
                                                                                                                                          ConfigGeneralDetector configDetector,
                                                                                                                                          java.lang.Class<D> derivType)

Creates a Hessian based blob detector.

Parameters:

type - The type of Hessian based blob detector to use. DETERMINANT often works well.

configDetector - Configuration for feature detector.

derivType - Type of derivative image.

See Also:

HessianBlobIntensity

createGeneral

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createGeneral(GradientCornerIntensity<D> cornerIntensity,
                                                                                                                                          ConfigGeneralDetector config)

createGeneral

public static <T extends boofcv.struct.image.ImageGray,D extends boofcv.struct.image.ImageGray> GeneralFeatureDetector<T,D> createGeneral(GeneralFeatureIntensity<T,D> intensity,
                                                                                                                                          ConfigGeneralDetector config)