boofcv.factory.feature.detect.peak

Class FactorySearchLocalPeak

java.lang.Object

boofcv.factory.feature.detect.peak.FactorySearchLocalPeak

public class FactorySearchLocalPeak
extends java.lang.Object

Factory for implementations of SearchLocalPeak

Constructor Summary

Constructors

Constructor and Description
FactorySearchLocalPeak()

Method Summary

Modifier and Type	Method and Description
static <T extends boofcv.struct.image.ImageGray> SearchLocalPeak<T>	meanShiftGaussian(int maxIterations, float convergenceTol, java.lang.Class<T> imageType) Mean-shift based search with a Gaussian kernel
static <T extends boofcv.struct.image.ImageGray> SearchLocalPeak<T>	meanShiftUniform(int maxIterations, float convergenceTol, java.lang.Class<T> imageType) Mean-shift based search with a uniform kernel

Methods inherited from class java.lang.Object

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

Constructor Detail

FactorySearchLocalPeak

public FactorySearchLocalPeak()

Method Detail

meanShiftUniform

public static <T extends boofcv.struct.image.ImageGray> SearchLocalPeak<T> meanShiftUniform(int maxIterations,
                                                                                            float convergenceTol,
                                                                                            java.lang.Class<T> imageType)

Mean-shift based search with a uniform kernel

Parameters:

maxIterations - Maximum number of iterations. Try 15

convergenceTol - Convergence tolerance. try 1e-3

imageType - Type of input image

Returns:

mean-shift search

meanShiftGaussian

public static <T extends boofcv.struct.image.ImageGray> SearchLocalPeak<T> meanShiftGaussian(int maxIterations,
                                                                                             float convergenceTol,
                                                                                             java.lang.Class<T> imageType)

Mean-shift based search with a Gaussian kernel

Parameters:

maxIterations - Maximum number of iterations. Try 15

convergenceTol - Convergence tolerance. try 1e-3

imageType - Type of input image

Returns:

mean-shift search