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<h1>itkImageGaussianModelEstimator.h</h1><a href="itkImageGaussianModelEstimator_8h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/*=========================================================================</span>
<a name="l00002"></a>00002 <span class="comment"></span>
<a name="l00003"></a>00003 <span class="comment"> Program: Insight Segmentation & Registration Toolkit</span>
<a name="l00004"></a>00004 <span class="comment"> Module: $RCSfile: itkImageGaussianModelEstimator.h,v $</span>
<a name="l00005"></a>00005 <span class="comment"> Language: C++</span>
<a name="l00006"></a>00006 <span class="comment"> Date: $Date: 2009-01-24 20:02:54 $</span>
<a name="l00007"></a>00007 <span class="comment"> Version: $Revision: 1.12 $</span>
<a name="l00008"></a>00008 <span class="comment"></span>
<a name="l00009"></a>00009 <span class="comment"> Copyright (c) Insight Software Consortium. All rights reserved.</span>
<a name="l00010"></a>00010 <span class="comment"> See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.</span>
<a name="l00011"></a>00011 <span class="comment"></span>
<a name="l00012"></a>00012 <span class="comment"> This software is distributed WITHOUT ANY WARRANTY; without even </span>
<a name="l00013"></a>00013 <span class="comment"> the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR </span>
<a name="l00014"></a>00014 <span class="comment"> PURPOSE. See the above copyright notices for more information.</span>
<a name="l00015"></a>00015 <span class="comment"></span>
<a name="l00016"></a>00016 <span class="comment">=========================================================================*/</span>
<a name="l00017"></a>00017 <span class="preprocessor">#ifndef __itkImageGaussianModelEstimator_h</span>
<a name="l00018"></a>00018 <span class="preprocessor"></span><span class="preprocessor">#define __itkImageGaussianModelEstimator_h</span>
<a name="l00019"></a>00019 <span class="preprocessor"></span>
<a name="l00020"></a>00020 <span class="preprocessor">#include <math.h></span>
<a name="l00021"></a>00021 <span class="preprocessor">#include <float.h></span>
<a name="l00022"></a>00022
<a name="l00023"></a>00023 <span class="preprocessor">#include "vnl/vnl_vector.h"</span>
<a name="l00024"></a>00024 <span class="preprocessor">#include "vnl/vnl_matrix.h"</span>
<a name="l00025"></a>00025 <span class="preprocessor">#include "vnl/vnl_matrix_fixed.h"</span>
<a name="l00026"></a>00026 <span class="preprocessor">#include "vnl/vnl_math.h"</span>
<a name="l00027"></a>00027 <span class="preprocessor">#include "vnl/algo/vnl_matrix_inverse.h"</span>
<a name="l00028"></a>00028
<a name="l00029"></a>00029
<a name="l00030"></a>00030 <span class="preprocessor">#include "<a class="code" href="itkImageRegionIterator_8h.html">itkImageRegionIterator.h</a>"</span>
<a name="l00031"></a>00031 <span class="preprocessor">#include "<a class="code" href="itkExceptionObject_8h.html">itkExceptionObject.h</a>"</span>
<a name="l00032"></a>00032
<a name="l00033"></a>00033 <span class="preprocessor">#include "<a class="code" href="itkImageModelEstimatorBase_8h.html">itkImageModelEstimatorBase.h</a>"</span>
<a name="l00034"></a>00034
<a name="l00035"></a>00035 <span class="keyword">namespace </span>itk
<a name="l00036"></a>00036 {
<a name="l00037"></a>00037
<a name="l00078"></a>00078 <span class="keyword">template</span> <<span class="keyword">class </span>TInputImage,
<a name="l00079"></a>00079 <span class="keyword">class </span>TMembershipFunction,
<a name="l00080"></a>00080 <span class="keyword">class </span>TTrainingImage>
<a name="l00081"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html">00081</a> <span class="keyword">class </span><a class="code" href="itkWin32Header_8h.html#7d4384322557205d75f0719c012dded6">ITK_EXPORT</a> <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a>:
<a name="l00082"></a>00082 <span class="keyword">public</span> <a class="code" href="classitk_1_1ImageModelEstimatorBase.html" title="Base class for model estimation from images used for classification.">ImageModelEstimatorBase</a><TInputImage, TMembershipFunction>
<a name="l00083"></a>00083 {
<a name="l00084"></a>00084 <span class="keyword">public</span>:
<a name="l00086"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#630d5d24f4c425b9b38a9eee2b674c26">00086</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a> <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">Self</a>;
<a name="l00087"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#0b86310070da6691df9551126c883560">00087</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1ImageModelEstimatorBase.html">ImageModelEstimatorBase<TInputImage,TMembershipFunction></a> <a class="code" href="classitk_1_1ImageModelEstimatorBase.html">Superclass</a>;
<a name="l00088"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#6d4c4627d2e20c90bfa0ad48e1980eeb">00088</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<Self></a> <a class="code" href="classitk_1_1SmartPointer.html">Pointer</a>;
<a name="l00089"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#2f05b322583f5a0a37c6bc3bf3d31427">00089</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer<const Self></a> <a class="code" href="classitk_1_1SmartPointer.html">ConstPointer</a>;
<a name="l00090"></a>00090
<a name="l00092"></a>00092 <a class="code" href="itkMacro_8h.html#0fdc15685afa271857c57e7cd482f30c">itkNewMacro</a>(<a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">Self</a>);
<a name="l00093"></a>00093
<a name="l00095"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#79389c1bb1b7817cf646760e3ec6e8f1">00095</a> <a class="code" href="itkMacro_8h.html#574c1f86661d409dd32c742307a0e96a">itkTypeMacro</a>(<a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a>, <a class="code" href="classitk_1_1ImageModelEstimatorBase.html" title="Base class for model estimation from images used for classification.">ImageModelEstimatorBase</a>);
<a name="l00096"></a>00096
<a name="l00098"></a>00098 <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">TInputImage::Pointer</a> InputImagePointer;
<a name="l00099"></a>00099
<a name="l00101"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#81d11c5494ce6faaec58bef98c067eae">00101</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">TTrainingImage::Pointer</a> TrainingImagePointer;
<a name="l00102"></a>00102
<a name="l00105"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#160bb9a9149afe556c6a98ce8a569eb6">00105</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> TInputImage::PixelType InputImagePixelType;
<a name="l00106"></a>00106
<a name="l00109"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#f3c3c52375ec936fef2c9024f8e091ca">00109</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> TTrainingImage::PixelType TrainingImagePixelType;
<a name="l00110"></a>00110
<a name="l00112"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#b27db003e841438f38c3d9ec42662b5d">00112</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1ImageRegionIterator.html" title="A multi-dimensional iterator templated over image type that walks a region of pixels...">ImageRegionIterator< TInputImage ></a> <a class="code" href="classitk_1_1ImageRegionIterator.html" title="A multi-dimensional iterator templated over image type that walks a region of pixels...">InputImageIterator</a>;
<a name="l00113"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#45271f49b1a9b0bed8682ca7f1775226">00113</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1ImageRegionIterator.html" title="A multi-dimensional iterator templated over image type that walks a region of pixels...">ImageRegionIterator< TTrainingImage ></a> <a class="code" href="classitk_1_1ImageRegionIterator.html" title="A multi-dimensional iterator templated over image type that walks a region of pixels...">TrainingImageIterator</a>;
<a name="l00114"></a>00114
<a name="l00116"></a><a class="code" href="classitk_1_1ImageGaussianModelEstimator.html#d296370f78f3355f8a7a56f6019e5eeb">00116</a> <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">TMembershipFunction::Pointer</a> MembershipFunctionPointer;
<a name="l00117"></a>00117
<a name="l00119"></a>00119 <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(TrainingImage,TrainingImagePointer);
<a name="l00120"></a>00120
<a name="l00122"></a>00122 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(TrainingImage,TrainingImagePointer);
<a name="l00123"></a>00123
<a name="l00124"></a>00124 <span class="keyword">protected</span>:
<a name="l00125"></a>00125 <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a>();
<a name="l00126"></a>00126 ~<a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a>();
<a name="l00127"></a>00127 <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#920ae03048a5ad715d803ca2e92b52de">PrintSelf</a>(std::ostream& os, <a class="code" href="classitk_1_1Indent.html" title="Control indentation during Print() invocation.">Indent</a> indent) <span class="keyword">const</span>;
<a name="l00128"></a>00128
<a name="l00130"></a>00130 <span class="keywordtype">void</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#f75a5945cdd8315676941024a0b8c1e9">GenerateData</a>();
<a name="l00131"></a>00131
<a name="l00132"></a>00132 <span class="keyword">private</span>:
<a name="l00133"></a>00133 <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">ImageGaussianModelEstimator</a>(<span class="keyword">const</span> <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">Self</a>&); <span class="comment">//purposely not implemented</span>
<a name="l00134"></a>00134 <span class="keywordtype">void</span> operator=(<span class="keyword">const</span> <a class="code" href="classitk_1_1ImageGaussianModelEstimator.html" title="Base class for ImageGaussianModelEstimator object.">Self</a>&); <span class="comment">//purposely not implemented</span>
<a name="l00135"></a>00135
<a name="l00136"></a>00136 <span class="keyword">typedef</span> <a class="code" href="classvnl__matrix.html">vnl_matrix<double></a> MatrixType;
<a name="l00137"></a>00137 <span class="keyword">typedef</span> <a class="code" href="classvnl__vector.html">vnl_vector<double></a> <a class="code" href="classvnl__vector.html">VectorType</a>;
<a name="l00138"></a>00138
<a name="l00139"></a>00139 <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#5bf82236e1e50e653de84c8ead448599">TInputImage::SizeType</a> InputImageSizeType;
<a name="l00140"></a>00140
<a name="l00142"></a>00142 <a class="code" href="itkMacro_8h.html#1905cf6b2e88235996fa7ff73b2fb0eb">itkStaticConstMacro</a>(VectorDimension, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>,
<a name="l00143"></a>00143 InputImagePixelType::Dimension);
<a name="l00144"></a>00144 <span class="keyword">typedef</span> vnl_matrix_fixed<double,1,itkGetStaticConstMacro(VectorDimension)> ColumnVectorType;
<a name="l00146"></a>00146
<a name="l00147"></a>00147 MatrixType m_NumberOfSamples;
<a name="l00148"></a>00148 MatrixType m_Means;
<a name="l00149"></a>00149 MatrixType *m_Covariance;
<a name="l00150"></a>00150
<a name="l00151"></a>00151 TrainingImagePointer m_TrainingImage;
<a name="l00152"></a>00152
<a name="l00156"></a>00156 <span class="keyword">virtual</span> <span class="keywordtype">void</span> EstimateModels();
<a name="l00157"></a>00157
<a name="l00158"></a>00158 <span class="keywordtype">void</span> EstimateGaussianModelParameters();
<a name="l00159"></a>00159
<a name="l00160"></a>00160 }; <span class="comment">// class ImageGaussianModelEstimator</span>
<a name="l00161"></a>00161
<a name="l00162"></a>00162 } <span class="comment">// namespace itk</span>
<a name="l00163"></a>00163
<a name="l00164"></a>00164 <span class="preprocessor">#ifndef ITK_MANUAL_INSTANTIATION</span>
<a name="l00165"></a>00165 <span class="preprocessor"></span><span class="preprocessor">#include "itkImageGaussianModelEstimator.txx"</span>
<a name="l00166"></a>00166 <span class="preprocessor">#endif</span>
<a name="l00167"></a>00167 <span class="preprocessor"></span>
<a name="l00168"></a>00168 <span class="preprocessor">#endif</span>
<a name="l00169"></a>00169 <span class="preprocessor"></span>
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