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<h1>itkCumulativeGaussianOptimizer.h</h1><a href="itkCumulativeGaussianOptimizer_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: itkCumulativeGaussianOptimizer.h,v $</span>
<a name="l00005"></a>00005 <span class="comment"> Language: C++</span>
<a name="l00006"></a>00006 <span class="comment"> Date: $Date: 2007-03-29 19:37:00 $</span>
<a name="l00007"></a>00007 <span class="comment"> Version: $Revision: 1.6 $</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
<a name="l00018"></a>00018 <span class="preprocessor">#ifndef __itkCumulativeGaussianOptimizer_h</span>
<a name="l00019"></a>00019 <span class="preprocessor"></span><span class="preprocessor">#define __itkCumulativeGaussianOptimizer_h</span>
<a name="l00020"></a>00020 <span class="preprocessor"></span>
<a name="l00021"></a>00021 <span class="preprocessor">#include "<a class="code" href="itkMultipleValuedNonLinearOptimizer_8h.html">itkMultipleValuedNonLinearOptimizer.h</a>"</span>
<a name="l00022"></a>00022 <span class="preprocessor">#include "<a class="code" href="itkCumulativeGaussianCostFunction_8h.html">itkCumulativeGaussianCostFunction.h</a>"</span>
<a name="l00023"></a>00023
<a name="l00024"></a>00024 <span class="keyword">namespace </span>itk
<a name="l00025"></a>00025 {
<a name="l00026"></a>00026
<a name="l00047"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html">00047</a> <span class="keyword">class </span><a class="code" href="itkWin32Header_8h.html#7d4384322557205d75f0719c012dded6">ITK_EXPORT</a> <a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html" title="This is an optimizer specific to estimating the parameters of Cumulative Gaussian...">CumulativeGaussianOptimizer</a> :
<a name="l00048"></a>00048 <span class="keyword">public</span> <a class="code" href="classitk_1_1MultipleValuedNonLinearOptimizer.html" title="This class is a base for the Optimization methods that optimize a multiple valued...">MultipleValuedNonLinearOptimizer</a>
<a name="l00049"></a>00049 {
<a name="l00050"></a>00050
<a name="l00051"></a>00051 <span class="keyword">public</span>:
<a name="l00052"></a>00052
<a name="l00054"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#88379dd4ca81b15033f7abd8bf346a7c">00054</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html" title="This is an optimizer specific to estimating the parameters of Cumulative Gaussian...">CumulativeGaussianOptimizer</a> <a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Self</a>;
<a name="l00055"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#378e22afdb27b61ca20f79acbb4f721a">00055</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1MultipleValuedNonLinearOptimizer.html" title="This class is a base for the Optimization methods that optimize a multiple valued...">MultipleValuedNonLinearOptimizer</a> <a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Superclass</a>;
<a name="l00056"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#ce275e0a4ec5ab1dc7404f367e47d4dc">00056</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="l00057"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#8c9d1f32b65ab3e3d3dc4074f8eca043">00057</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="l00058"></a>00058
<a name="l00060"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#8455bb1b77d0ae923b05bbbbb7d29208">00060</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1CumulativeGaussianCostFunction.html" title="Cost function for the Cumulative Gaussian Optimizer.">CumulativeGaussianCostFunction</a> <a class="code" href="classitk_1_1CumulativeGaussianCostFunction.html" title="Cost function for the Cumulative Gaussian Optimizer.">CostFunctionType</a>;
<a name="l00061"></a>00061
<a name="l00063"></a><a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html#032e122bb5e9c4040d96500aa2b5574e">00063</a> <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Array.html">CostFunctionType::MeasureType</a> <a class="code" href="classitk_1_1Array.html">MeasureType</a>;
<a name="l00064"></a>00064
<a name="l00066"></a>00066 <a class="code" href="itkMacro_8h.html#0fdc15685afa271857c57e7cd482f30c">itkNewMacro</a>(<a class="code" href="classitk_1_1LightObject.html" title="Light weight base class for most itk classes.">Self</a>);
<a name="l00067"></a>00067
<a name="l00069"></a>00069 <a class="code" href="itkMacro_8h.html#574c1f86661d409dd32c742307a0e96a">itkTypeMacro</a>(<a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html" title="This is an optimizer specific to estimating the parameters of Cumulative Gaussian...">CumulativeGaussianOptimizer</a>, <a class="code" href="classitk_1_1MultipleValuedNonLinearOptimizer.html" title="This class is a base for the Optimization methods that optimize a multiple valued...">MultipleValuedNonLinearOptimizer</a>);
<a name="l00070"></a>00070
<a name="l00072"></a>00072 <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(DifferenceTolerance, <span class="keywordtype">double</span>);
<a name="l00073"></a>00073 <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(Verbose, <span class="keywordtype">bool</span>);
<a name="l00074"></a>00074 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(ComputedMean, <span class="keywordtype">double</span>);
<a name="l00075"></a>00075 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(ComputedStandardDeviation, <span class="keywordtype">double</span>);
<a name="l00076"></a>00076 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(UpperAsymptote, <span class="keywordtype">double</span>);
<a name="l00077"></a>00077 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(LowerAsymptote, <span class="keywordtype">double</span>);
<a name="l00078"></a>00078 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(FinalSampledArray, <a class="code" href="classitk_1_1Array.html">MeasureType</a>*);
<a name="l00079"></a>00079 <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(FitError, <span class="keywordtype">double</span>);
<a name="l00081"></a>00081
<a name="l00082"></a>00082 <span class="keywordtype">void</span> SetDataArray(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * dataArray);
<a name="l00083"></a>00083
<a name="l00085"></a>00085 <span class="keywordtype">void</span> StartOptimization();
<a name="l00086"></a>00086
<a name="l00088"></a>00088 <span class="keywordtype">void</span> PrintArray(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * array);
<a name="l00089"></a>00089
<a name="l00090"></a>00090 <span class="keyword">protected</span>:
<a name="l00091"></a>00091 <a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html" title="This is an optimizer specific to estimating the parameters of Cumulative Gaussian...">CumulativeGaussianOptimizer</a>();
<a name="l00092"></a>00092 <span class="keyword">virtual</span> ~<a class="code" href="classitk_1_1CumulativeGaussianOptimizer.html" title="This is an optimizer specific to estimating the parameters of Cumulative Gaussian...">CumulativeGaussianOptimizer</a>();
<a name="l00093"></a>00093 <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="l00094"></a>00094
<a name="l00095"></a>00095 <span class="keyword">private</span>:
<a name="l00096"></a>00096
<a name="l00098"></a>00098 <span class="keywordtype">double</span> m_DifferenceTolerance;
<a name="l00099"></a>00099
<a name="l00101"></a>00101 <span class="keywordtype">double</span> m_ComputedMean;
<a name="l00102"></a>00102
<a name="l00104"></a>00104 <span class="keywordtype">double</span> m_ComputedStandardDeviation;
<a name="l00105"></a>00105
<a name="l00107"></a>00107 <span class="keywordtype">double</span> m_ComputedAmplitude;
<a name="l00108"></a>00108
<a name="l00111"></a>00111 <span class="keywordtype">double</span> m_ComputedTransitionHeight;
<a name="l00112"></a>00112
<a name="l00114"></a>00114 <span class="keywordtype">double</span> m_UpperAsymptote;
<a name="l00115"></a>00115
<a name="l00117"></a>00117 <span class="keywordtype">double</span> m_LowerAsymptote;
<a name="l00118"></a>00118
<a name="l00120"></a>00120 <span class="keywordtype">double</span> m_OffsetForMean;
<a name="l00121"></a>00121
<a name="l00123"></a>00123 <span class="keywordtype">bool</span> m_Verbose;
<a name="l00124"></a>00124
<a name="l00126"></a>00126 <span class="keywordtype">double</span> m_FitError;
<a name="l00127"></a>00127
<a name="l00130"></a>00130 <a class="code" href="classitk_1_1Array.html">MeasureType</a> * m_FinalSampledArray;
<a name="l00131"></a>00131
<a name="l00133"></a>00133 <a class="code" href="classitk_1_1Array.html">MeasureType</a> * m_CumulativeGaussianArray;
<a name="l00134"></a>00134
<a name="l00136"></a>00136 <a class="code" href="classitk_1_1Array.html">MeasureType</a> * ExtendGaussian(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * originalArray, <a class="code" href="classitk_1_1Array.html">MeasureType</a> * extendedArray, <span class="keywordtype">int</span> startingPointForInsertion);
<a name="l00137"></a>00137
<a name="l00139"></a>00139 <a class="code" href="classitk_1_1Array.html">MeasureType</a> * RecalculateExtendedArrayFromGaussianParameters(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * originalArray,
<a name="l00140"></a>00140 <a class="code" href="classitk_1_1Array.html">MeasureType</a> * extendedArray,
<a name="l00141"></a>00141 <span class="keywordtype">int</span> startingPointForInsertion);
<a name="l00142"></a>00142
<a name="l00145"></a>00145 <span class="keywordtype">double</span> FindAverageSumOfSquaredDifferences(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * array1, <a class="code" href="classitk_1_1Array.html">MeasureType</a> * array2);
<a name="l00146"></a>00146
<a name="l00148"></a>00148 <span class="keywordtype">void</span> FindParametersOfGaussian(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * sampledGaussianArray);
<a name="l00149"></a>00149
<a name="l00151"></a>00151 <span class="keywordtype">void</span> MeasureGaussianParameters(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * array);
<a name="l00152"></a>00152
<a name="l00154"></a>00154 <span class="keywordtype">void</span> PrintComputedParameterHeader();
<a name="l00155"></a>00155
<a name="l00157"></a>00157 <span class="keywordtype">void</span> PrintComputedParameters();
<a name="l00158"></a>00158
<a name="l00160"></a>00160 <span class="keywordtype">double</span> VerticalBestShift(<a class="code" href="classitk_1_1Array.html">MeasureType</a> * originalArray, <a class="code" href="classitk_1_1Array.html">MeasureType</a> * newArray);
<a name="l00161"></a>00161 };
<a name="l00162"></a>00162
<a name="l00163"></a>00163 } <span class="comment">// end namespace itk</span>
<a name="l00164"></a>00164
<a name="l00165"></a>00165 <span class="preprocessor">#endif</span>
<a name="l00166"></a>00166 <span class="preprocessor"></span>
</pre></div></div>
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