Documentation of 'boofcv.factory.feature.detect.peak.FactorySearchLocalPeak' Java class
FactorySearchLocalPeak
boofcv.factory.feature.detect.peak

Class FactorySearchLocalPeak



  • public class FactorySearchLocalPeak
    extends java.lang.Object
    Factory for implementations of SearchLocalPeak
    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method and Description
      static <T extends ImageGray>
      SearchLocalPeak<T>
      meanShiftGaussian(int maxIterations, float convergenceTol, java.lang.Class<T> imageType)
      Mean-shift based search with a Gaussian kernel
      static <T extends 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

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • FactorySearchLocalPeak

        public FactorySearchLocalPeak()
    • Method Detail

      • meanShiftUniform

        public static <T extends 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 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

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