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<h1>itkVoronoiSegmentationRGBImageFilter.h</h1><a href="itkVoronoiSegmentationRGBImageFilter_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 &amp; Registration Toolkit</span>
<a name="l00004"></a>00004 <span class="comment">  Module:    $RCSfile: itkVoronoiSegmentationRGBImageFilter.h,v $</span>
<a name="l00005"></a>00005 <span class="comment">  Language:  C++</span>
<a name="l00006"></a>00006 <span class="comment">  Date:      $Date: 2009-01-27 19:30:17 $</span>
<a name="l00007"></a>00007 <span class="comment">  Version:   $Revision: 1.35 $</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 __itkVoronoiSegmentationRGBImageFilter_h</span>
<a name="l00018"></a>00018 <span class="preprocessor"></span><span class="preprocessor">#define __itkVoronoiSegmentationRGBImageFilter_h</span>
<a name="l00019"></a>00019 <span class="preprocessor"></span>
<a name="l00020"></a>00020 <span class="preprocessor">#include "<a class="code" href="itkImageToImageFilter_8h.html">itkImageToImageFilter.h</a>"</span>
<a name="l00021"></a>00021 <span class="preprocessor">#include "<a class="code" href="itkVoronoiSegmentationImageFilterBase_8h.html">itkVoronoiSegmentationImageFilterBase.h</a>"</span>
<a name="l00022"></a>00022 <span class="preprocessor">#include "<a class="code" href="itkImage_8h.html">itkImage.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="l00054"></a>00054 <span class="keyword">template</span> &lt;<span class="keyword">class</span> TInputImage, <span class="keyword">class</span> TOutputImage&gt;
<a name="l00055"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">00055</a> <span class="keyword">class </span><a class="code" href="itkWin32Header_8h.html#7d4384322557205d75f0719c012dded6">ITK_EXPORT</a> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>:
<a name="l00056"></a>00056     <span class="keyword">public</span> <a class="code" href="classitk_1_1VoronoiSegmentationImageFilterBase.html">VoronoiSegmentationImageFilterBase</a>&lt;TInputImage,TOutputImage&gt;
<a name="l00057"></a>00057 {
<a name="l00058"></a>00058 
<a name="l00059"></a>00059 <span class="keyword">public</span>:
<a name="l00061"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#f7c91fc59fbb8b933f9b49acbbe0cf2c">00061</a>   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>       <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">Self</a>;
<a name="l00062"></a>00062   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1VoronoiSegmentationImageFilterBase.html">VoronoiSegmentationImageFilterBase&lt;TInputImage,TOutputImage&gt;</a>
<a name="l00063"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#5afd86cff2c12275727af2b97b2ea172">00063</a>                                                   <a class="code" href="classitk_1_1VoronoiSegmentationImageFilterBase.html">Superclass</a>;
<a name="l00064"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#e4e485638ad698b395d7b0e78ff6b321">00064</a>   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer &lt;Self&gt;</a>                     <a class="code" href="classitk_1_1SmartPointer.html">Pointer</a>;
<a name="l00065"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#26df61b86397e973e3434f3c457360d6">00065</a>   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1SmartPointer.html">SmartPointer&lt;const Self&gt;</a>                <a class="code" href="classitk_1_1SmartPointer.html">ConstPointer</a>;
<a name="l00066"></a>00066 
<a name="l00068"></a>00068   <a class="code" href="itkMacro_8h.html#574c1f86661d409dd32c742307a0e96a">itkTypeMacro</a>(<a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>,
<a name="l00069"></a>00069                <a class="code" href="classitk_1_1VoronoiSegmentationImageFilterBase.html">VoronoiSegmentationImageFilterBase</a>);
<a name="l00070"></a>00070 
<a name="l00072"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#e2f07f1cf6a75c3f9d28e60d2a178a3c">00072</a>   <a class="code" href="itkMacro_8h.html#0fdc15685afa271857c57e7cd482f30c">itkNewMacro</a>(<a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">Self</a>);
<a name="l00073"></a>00073 
<a name="l00075"></a>00075   <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classitk_1_1Image.html" title="Templated n-dimensional image class.">Superclass::BinaryObjectImage</a> <a class="code" href="classitk_1_1Image.html" title="Templated n-dimensional image class.">BinaryObjectImage</a>;
<a name="l00076"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#875cfdd0a79005fd1473e3af69953ec2">00076</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> Superclass::IndexList         IndexList;
<a name="l00077"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#09721e08211ad4c27ac15955c58b4a1e">00077</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#be32dc19e71d40322ad9828b9ab40853">Superclass::IndexType</a>         <a class="code" href="namespaceHardConnectedComponentImageFilter.html#be32dc19e71d40322ad9828b9ab40853">IndexType</a>;
<a name="l00078"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1190b917a25bb4feb016f7b30a552f99">00078</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#ed8c4a40607d317c666eb96ea265e126">Superclass::RegionType</a>        <a class="code" href="namespaceHardConnectedComponentImageFilter.html#ed8c4a40607d317c666eb96ea265e126">RegionType</a>;
<a name="l00079"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#418cefe7b26949184f324d6b89ed2af6">00079</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> Superclass::PixelType         PixelType;
<a name="l00080"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1ca452c857708274668c80e1a6557390">00080</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> Superclass::InputImagePointer InputImagePointer;
<a name="l00081"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b6bd076ced136b4480c25ea70122f518">00081</a>   <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#3742cbac150bee74daa9aab85ed80623">Superclass::InputImageType</a>    <a class="code" href="namespaceHardConnectedComponentImageFilter.html#3742cbac150bee74daa9aab85ed80623">InputImageType</a>;
<a name="l00082"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#e1d272885998d405ba0c893f3a26ced5">00082</a>   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Vector.html" title="A templated class holding a n-Dimensional vector.">Vector&lt;float,6&gt;</a>                        <a class="code" href="classitk_1_1Vector.html" title="A templated class holding a n-Dimensional vector.">RGBHCVPixel</a>;
<a name="l00083"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#cc8dbd586ee92d53e1b4275b9bbde661">00083</a>   <span class="keyword">typedef</span> <a class="code" href="classitk_1_1Image.html" title="Templated n-dimensional image class.">Image&lt;RGBHCVPixel&gt;</a>                     <a class="code" href="classitk_1_1Image.html" title="Templated n-dimensional image class.">RGBHCVImage</a>;
<a name="l00084"></a>00084 
<a name="l00086"></a>00086   <span class="keywordtype">void</span> SetMeanPercentError(<span class="keywordtype">double</span> x[6]);
<a name="l00087"></a>00087   <span class="keywordtype">void</span> SetSTDPercentError(<span class="keywordtype">double</span> x[6]);
<a name="l00088"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#84df6faf7422db9ad74c17113def8a86">00088</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#84df6faf7422db9ad74c17113def8a86">GetMeanPercentError</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_MeanPercentError[i];}
<a name="l00089"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#d67f9c131b0e79db95899139a1c14dab">00089</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#d67f9c131b0e79db95899139a1c14dab">GetSTDPercentError</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_STDPercentError[i];}
<a name="l00090"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b429f73f90461201ed9fe3dabd1e640f">00090</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b429f73f90461201ed9fe3dabd1e640f">GetMean</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_Mean[i];}
<a name="l00091"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#8eb0d27b3ffa7a70dff456ee9951488a">00091</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#8eb0d27b3ffa7a70dff456ee9951488a">GetSTD</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_STD[i];}
<a name="l00092"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b0aa4fa97446b69a18e378bb803fbb32">00092</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b0aa4fa97446b69a18e378bb803fbb32">SetMean</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) m_Mean[i]=x[i];}
<a name="l00093"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1c5db0e2491cf24919224bfe17d90a5d">00093</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1c5db0e2491cf24919224bfe17d90a5d">SetSTD</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) m_STD[i]=x[i];}
<a name="l00094"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b50d9ce5bfbb1ce51202202c2ab93a35">00094</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#b50d9ce5bfbb1ce51202202c2ab93a35">GetMeanTolerance</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_MeanTolerance[i];}
<a name="l00095"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#95f0be46c10070d1344466df13cb8bbe">00095</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#95f0be46c10070d1344466df13cb8bbe">GetSTDTolerance</a>(<span class="keywordtype">double</span> x[6]){<span class="keywordflow">for</span>(<span class="keywordtype">int</span> i=0;i&lt;6;i++) x[i]=m_STDTolerance[i];}
<a name="l00097"></a>00097 
<a name="l00101"></a>00101   <a class="code" href="itkMacro_8h.html#7ebdd33cc5e7d74720ced9099c034faa">itkSetMacro</a>(MaxValueOfRGB,<span class="keywordtype">double</span>);
<a name="l00102"></a>00102   <a class="code" href="itkMacro_8h.html#1600305bb01e39e87c472d8bf29bd1cf">itkGetMacro</a>(MaxValueOfRGB,<span class="keywordtype">double</span>);
<a name="l00104"></a>00104 
<a name="l00107"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1c362b96e1e11829449c17e6cffcbe98">00107</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#1c362b96e1e11829449c17e6cffcbe98">SetTestMean</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t1,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t2,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t3){
<a name="l00108"></a>00108     m_TestMean[0] = t1;
<a name="l00109"></a>00109     m_TestMean[1] = t2;
<a name="l00110"></a>00110     m_TestMean[2] = t3;
<a name="l00111"></a>00111   }
<a name="l00112"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#d1171fd8ceff0bbd318bbd5d76ccb577">00112</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#d1171fd8ceff0bbd318bbd5d76ccb577">SetTestSTD</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t1,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t2,<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t3){
<a name="l00113"></a>00113     m_TestSTD[0] = t1;
<a name="l00114"></a>00114     m_TestSTD[1] = t2;
<a name="l00115"></a>00115     m_TestSTD[2] = t3;
<a name="l00116"></a>00116   }
<a name="l00117"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#61fafe4136acf122048c142f38603c98">00117</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#61fafe4136acf122048c142f38603c98">GetTestMean</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> x[3]){
<a name="l00118"></a>00118     x[0]=m_TestMean[0];x[1]=m_TestMean[1];x[2]=m_TestMean[2];
<a name="l00119"></a>00119   }
<a name="l00120"></a><a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#3a657bcc686c0b22828b4a499505f9d7">00120</a>   <span class="keywordtype">void</span> <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html#3a657bcc686c0b22828b4a499505f9d7">GetTestSTD</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> x[3]){
<a name="l00121"></a>00121     x[0]=m_TestSTD[0];x[1]=m_TestSTD[1];x[2]=m_TestSTD[2];
<a name="l00122"></a>00122   }
<a name="l00123"></a>00123   <span class="keywordtype">void</span> TakeAPrior(<span class="keyword">const</span> BinaryObjectImage* aprior);
<a name="l00125"></a>00125 
<a name="l00126"></a>00126   <span class="keyword">virtual</span> <span class="keywordtype">void</span> SetInput(<span class="keyword">const</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#3742cbac150bee74daa9aab85ed80623">InputImageType</a> *input); 
<a name="l00127"></a>00127   <span class="keyword">virtual</span> <span class="keywordtype">void</span> SetInput( <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>, <span class="keyword">const</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#3742cbac150bee74daa9aab85ed80623">InputImageType</a> * image);
<a name="l00128"></a>00128 
<a name="l00130"></a>00130   <a class="code" href="itkMacro_8h.html#1905cf6b2e88235996fa7ff73b2fb0eb">itkStaticConstMacro</a>(InputImageDimension, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>,
<a name="l00131"></a>00131                       TInputImage::ImageDimension );
<a name="l00132"></a>00132   <a class="code" href="itkMacro_8h.html#1905cf6b2e88235996fa7ff73b2fb0eb">itkStaticConstMacro</a>(OutputImageDimension, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>,
<a name="l00133"></a>00133                       TOutputImage::ImageDimension );
<a name="l00135"></a>00135 
<a name="l00136"></a>00136 <span class="preprocessor">#ifdef ITK_USE_CONCEPT_CHECKING</span>
<a name="l00137"></a>00137 <span class="preprocessor"></span>
<a name="l00138"></a>00138   <a class="code" href="itkConceptChecking_8h.html#009eae6c305d9c390972159815e6a710">itkConceptMacro</a>(SameDimensionCheck,
<a name="l00139"></a>00139     (<a class="code" href="structitk_1_1Concept_1_1SameDimension.html">Concept::SameDimension&lt;InputImageDimension, OutputImageDimension&gt;</a>));
<a name="l00140"></a>00140   <a class="code" href="itkConceptChecking_8h.html#009eae6c305d9c390972159815e6a710">itkConceptMacro</a>(IntConvertibleToOutputCheck,
<a name="l00141"></a>00141     (<a class="code" href="structitk_1_1Concept_1_1Convertible.html">Concept::Convertible&lt;int, typename TOutputImage::PixelType&gt;</a>));
<a name="l00142"></a>00142 
<a name="l00144"></a>00144 <span class="preprocessor">#endif</span>
<a name="l00145"></a>00145 <span class="preprocessor"></span>
<a name="l00146"></a>00146 <span class="keyword">protected</span>:
<a name="l00147"></a>00147   <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>();
<a name="l00148"></a>00148   ~<a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>();
<a name="l00149"></a>00149   <span class="keywordtype">void</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#920ae03048a5ad715d803ca2e92b52de">PrintSelf</a>(std::ostream&amp; 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="l00150"></a>00150 
<a name="l00151"></a>00151 <span class="keyword">private</span>:
<a name="l00152"></a>00152   <span class="keywordtype">double</span> m_Mean[6];
<a name="l00153"></a>00153   <span class="keywordtype">double</span> m_STD[6];  
<a name="l00154"></a>00154   <span class="keywordtype">double</span> m_MeanTolerance[6];
<a name="l00155"></a>00155   <span class="keywordtype">double</span> m_STDTolerance[6];
<a name="l00156"></a>00156   <span class="keywordtype">double</span> m_MeanPercentError[6];
<a name="l00157"></a>00157   <span class="keywordtype">double</span> m_STDPercentError[6];
<a name="l00158"></a>00158   <span class="keywordtype">double</span> m_MaxValueOfRGB;
<a name="l00159"></a>00159   <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_TestMean[3];
<a name="l00160"></a>00160   <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_TestSTD[3];
<a name="l00161"></a>00161   <span class="keyword">typename</span> <a class="code" href="itkFEMMacro_8h.html#539cce1a3282ba59952dedcbf9cdb23f">RGBHCVImage::Pointer</a> m_WorkingImage;
<a name="l00162"></a>00162 
<a name="l00163"></a>00163   <span class="keyword">virtual</span> <span class="keywordtype">bool</span> TestHomogeneity(IndexList &amp;Plist);
<a name="l00164"></a>00164   
<a name="l00165"></a>00165 <span class="keyword">private</span>:
<a name="l00166"></a>00166   <a class="code" href="classitk_1_1VoronoiSegmentationRGBImageFilter.html">VoronoiSegmentationRGBImageFilter</a>(<span class="keyword">const</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#ac7d0120fe5292cdcdddb6163b8cb150">Self</a>&amp;); <span class="comment">//purposely not implemented</span>
<a name="l00167"></a>00167   <span class="keywordtype">void</span> operator=(<span class="keyword">const</span> <a class="code" href="namespaceHardConnectedComponentImageFilter.html#ac7d0120fe5292cdcdddb6163b8cb150">Self</a>&amp;); <span class="comment">//purposely not implemented  </span>
<a name="l00168"></a>00168 };
<a name="l00169"></a>00169 
<a name="l00170"></a>00170 }<span class="comment">//end namespace</span>
<a name="l00171"></a>00171 
<a name="l00172"></a>00172 
<a name="l00173"></a>00173 <span class="preprocessor">#ifndef ITK_MANUAL_INSTANTIATION</span>
<a name="l00174"></a>00174 <span class="preprocessor"></span><span class="preprocessor">#include "itkVoronoiSegmentationRGBImageFilter.txx"</span>
<a name="l00175"></a>00175 <span class="preprocessor">#endif</span>
<a name="l00176"></a>00176 <span class="preprocessor"></span>
<a name="l00177"></a>00177 <span class="preprocessor">#endif</span>
<a name="l00178"></a>00178 <span class="preprocessor"></span>
</pre></div></div>
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