Tests Markov, exemple modofie.

Code/Markov/otbMarkovClassificationFilter.h

@@ -80,8 +80,8 @@ public itk::ImageToImageFilter<TInputImage,TClassifiedImage>
   typedef typename TInputImage::RegionType           InputImageRegionType;
   
   /** Type definition for the input image region iterator */
-  typedef itk::ImageRegionIterator<TInputImage>       InputImageRegionIterator;
-  typedef itk::ImageRegionConstIterator<TInputImage>  InputImageRegionConstIterator;
+  typedef itk::ImageRegionIterator<TInputImage>      InputImageRegionIterator;
+  typedef itk::ImageRegionConstIterator<TInputImage> InputImageRegionConstIterator;
   
   /** Image dimension */
   itkStaticConstMacro(InputImageDimension, unsigned int, TInputImage::ImageDimension);
@@ -150,7 +150,7 @@ public itk::ImageToImageFilter<TInputImage,TClassifiedImage>
   typedef MRFEnergy< TClassifiedImage, TClassifiedImage> EnergyRegularizationType;
   typedef MRFEnergy< TInputImage, TClassifiedImage>      EnergyFidelityType;
   typedef typename EnergyRegularizationType::Pointer     EnergyRegularizationPointer;
-  typedef typename EnergyFidelityType::Pointer            EnergyFidelityPointer;        
+  typedef typename EnergyFidelityType::Pointer           EnergyFidelityPointer;        
   
   // typedef RandomMRFSampler< TInputImage, TClassifiedImage> SamplerType;
   // typedef MRFSamplerMAP< TInputImage, TClassifiedImage> SamplerType;

Examples/Markov/MarkovClassification1Example.cxx

@@ -261,8 +261,11 @@ int main(int argc, char* argv[] )
   parameters[6]=220.0;//Class 3 mean
   parameters[7]=10.0; //Class 3 stde
   energyFidelity->SetParameters(parameters);
-//   optimizer->SetTemperature(atof(argv[6]));
-  optimizer->SetParameters(atof(argv[6]));
+  optimizer->SetTemperature(atof(argv[6]));
+  itk::Array<double> array(1);
+  array.Fill(atof(argv[6]));
+  //optimizer->SetParameters(array);
+  markovFilter->SetValueInsteadRandom(500); // Unable rand() calculation
   markovFilter->SetNumberOfClasses(nClass);  
   markovFilter->SetMaximumNumberOfIterations(atoi(argv[5]));
   markovFilter->SetErrorTolerance(-1.0);