Package gov.nih.mipav.view.renderer.WildMagic.AAM

Class CAAMOptRes

  • public class CAAMOptRes
extends java.lang.Object
    This is the Java modified version of C++ active appearance model API (AAM_API). It is modified with a subset of required functions for automatic MRI prostate segmentation. AAM-API LICENSE - file: license.txt This software is freely available for non-commercial use such as research and education. Please see the full disclaimer below. All publications describing work using this software should cite the reference given below. Copyright (c) 2000-2003 Mikkel B. Stegmann, mbs@imm.dtu.dk IMM, Informatics & Mathematical Modelling DTU, Technical University of Denmark Richard Petersens Plads, Building 321 DK-2800 Lyngby, Denmark http://www.imm.dtu.dk/~aam/ REFERENCES Please use the reference below, when writing articles, reports etc. where the AAM-API has been used. A draft version the article is available from the homepage. I will be happy to receive pre- or reprints of such articles. /Mikkel ------------- M. B. Stegmann, B. K. Ersboll, R. Larsen, "FAME -- A Flexible Appearance Modelling Environment", IEEE Transactions on Medical Imaging, IEEE, 2003 (to appear) ------------- 3RD PART SOFTWARE The software is partly based on the following libraries: - The Microsoft(tm) Vision Software Developers Kit, VisSDK - LAPACK DISCLAIMER This software is provided 'as-is', without any express or implied warranty. In no event will the author be held liable for any damages arising from the use of this software. Permission is granted to anyone to use this software for any non-commercial purpose, and to alter it, subject to the following restrictions: 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. 3. This notice may not be removed or altered from any source distribution. -- No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the author or IMM. This software is provided by Mikkel B. Stegmann and IMM ``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 IMM or Mikkel B. Stegmann 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. $Revision: 1.4 $ $Date: 2003/04/23 14:49:15 $ Stores optimization results.
    Author:
    Ruida Cheng

    • Field Summary

      Fields 
      Modifier and Type Field Description
      (package private) double m_dMaha
      The Mahalanobis Distance of the model parameters.
      (package private) double m_dSimilarityMeasure
      The similarity measure value at optimum.
      (package private) int m_nIterations
      The number of iterations.

    • Constructor Summary

      Constructors 
      Constructor Description
      CAAMOptRes()
      Constructor
      CAAMOptRes​(double maha, int nIterations, double sm)
      Constructor

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      double Mahalanobis()
      Returns the Mahalanobis Distance of the model parameters.
      int NIter()
      Returns the number of iterations.
      double SimilarityMeasure()
      Returns the similarity measure.

      • Methods inherited from class java.lang.Object

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

    • Field Detail

      • m_nIterations

        int m_nIterations
        The number of iterations.

      • m_dMaha

        double m_dMaha
        The Mahalanobis Distance of the model parameters.

      • m_dSimilarityMeasure

        double m_dSimilarityMeasure
        The similarity measure value at optimum.

    • Constructor Detail

      • CAAMOptRes

        public CAAMOptRes()
        Constructor

      • CAAMOptRes

        public CAAMOptRes​(double maha,
                  int nIterations,
                  double sm)
        Constructor
        Parameters:
        maha - Mahalanobis distance
        nIterations - number iterations
        sm - similarity measure

    • Method Detail

      • NIter

        public int NIter()
        Returns the number of iterations.
        Returns:
        number of iterations.

      • Mahalanobis

        public double Mahalanobis()
        Returns the Mahalanobis Distance of the model parameters.
        Returns:
        Mahalanobis distance.

      • SimilarityMeasure

        public double SimilarityMeasure()
        Returns the similarity measure.
        Returns:
        similarity measure