Class AlgorithmHMRF_EM

java.lang.Object
java.lang.Thread
gov.nih.mipav.model.algorithms.AlgorithmBase
gov.nih.mipav.model.algorithms.AlgorithmHMRF_EM
All Implemented Interfaces:
ActionListener, WindowListener, Runnable, EventListener

public class AlgorithmHMRF_EM extends AlgorithmBase
This is a port of the MATLAB files HMRF_EM.m and MRF_MAP.m written by Quan Wang to Java. % Copyright by Quan Wang, 2012/04/25 % Please cite: Quan Wang. HMRF-EM-image: Implementation of the % Hidden Markov Random Field Model and its Expectation-Maximization % Algorithm. arXiv:1207.3510 [cs.CV], 2012. Copyright (c) 2012, Quan Wang All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Field Details

    • EQUAL_WEIGHTS

      private static final int EQUAL_WEIGHTS
      See Also:
    • GRAPHIC_WEIGHTS

      private static final int GRAPHIC_WEIGHTS
      See Also:
    • colorWeighting

      private int colorWeighting
    • numberClusters

      private int numberClusters
    • gaussianSigma

      private float gaussianSigma
    • maxEMIterations

      private int maxEMIterations
    • maxMAPIterations

      private int maxMAPIterations
    • showMAPplot

      private boolean showMAPplot
    • resultsFileName

      private String resultsFileName
  • Constructor Details

    • AlgorithmHMRF_EM

      public AlgorithmHMRF_EM()
      AlgorithmHMRF_EM - default constructor.
    • AlgorithmHMRF_EM

      public AlgorithmHMRF_EM(ModelImage destImg, ModelImage srcImg, int colorWeighting, int numberClusters, float gaussianSigma, int maxEMIterations, int maxMAPIterations, boolean showMAPplot, String resultsFileName)
      AlgorithmHMRF_EM.
      Parameters:
      destImg - DOCUMENT ME!
      srcImg - DOCUMENT ME!
      colorWeighting -
      numberClusters -
      gaussianSigma -
      maxEMIterations -
      maxMAPIterations -
      showMAPplot -
      resultsFileName -
  • Method Details