STYLE: Use itk::ReadImage/itk::WriteImage in Examples/Segmentations,S…

…patialObj

Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx

@@ -134,16 +134,8 @@ main(int argc, char * argv[])
   thresholder->SetOutsideValue(0);
   thresholder->SetInsideValue(255);
 
-  using ReaderType = itk::ImageFileReader<InternalImageType>;
-  using WriterType = itk::ImageFileWriter<OutputImageType>;
-
-  auto reader1 = ReaderType::New();
-  auto reader2 = ReaderType::New();
-  auto writer = WriterType::New();
-
-  reader1->SetFileName(argv[1]);
-  reader2->SetFileName(argv[2]);
-  writer->SetFileName(argv[3]);
+  const auto input1 = itk::ReadImage<InternalImageType>(argv[1]);
+  const auto input2 = itk::ReadImage<InternalImageType>(argv[2]);
 
   //  Software Guide : BeginLatex
   //
@@ -249,26 +241,24 @@ main(int argc, char * argv[])
   //  Software Guide : EndLatex
 
   // Software Guide : BeginCodeSnippet
-  diffusion->SetInput(reader1->GetOutput());
-  cannySegmentation->SetInput(reader2->GetOutput());
+  diffusion->SetInput(input1);
+  cannySegmentation->SetInput(input2);
   cannySegmentation->SetFeatureImage(diffusion->GetOutput());
   thresholder->SetInput(cannySegmentation->GetOutput());
-  writer->SetInput(thresholder->GetOutput());
   // Software Guide : EndCodeSnippet
 
 
   //  Software Guide : BeginLatex
   //
-  //  Invoking the \code{Update()} method on the writer triggers the
-  //  execution of the pipeline.  As usual, the call is placed in a
+  //  As usual, the write image call is placed in a
   //  \code{try/catch} block to handle any exceptions that may be thrown.
   //
   //  Software Guide : EndLatex
 
   // Software Guide : BeginCodeSnippet
   try
   {
-    writer->Update();
+    itk::WriteImage(thresholder->GetOutput(), argv[3])
   }
   catch (const itk::ExceptionObject & excep)
   {

Examples/Segmentation/ConfidenceConnected.cxx

@@ -134,18 +134,8 @@ main(int argc, char * argv[])
     itk::CastImageFilter<InternalImageType, OutputImageType>;
   auto caster = CastingFilterType::New();
 
-
-  // We instantiate reader and writer types
-  //
-  using ReaderType = itk::ImageFileReader<InternalImageType>;
-  using WriterType = itk::ImageFileWriter<OutputImageType>;
-
-  auto reader = ReaderType::New();
-  auto writer = WriterType::New();
-
-  reader->SetFileName(argv[1]);
-  writer->SetFileName(argv[2]);
-
+  // Read the input image
+  const auto input = itk::ReadImage<InternalImageType>(argv[1]);
 
   //  Software Guide : BeginLatex
   //
@@ -199,18 +189,17 @@ main(int argc, char * argv[])
   //  Software Guide : BeginLatex
   //
   //  Now it is time to create a simple, linear pipeline. A file reader is
-  //  added at the beginning of the pipeline and a cast filter and writer are
+  //  added at the beginning of the pipeline and a cast filter is
   //  added at the end. The cast filter is required here to convert
   //  \code{float} pixel types to integer types since only a few image file
   //  formats support \code{float} types.
   //
   //  Software Guide : EndLatex
 
   // Software Guide : BeginCodeSnippet
-  smoothing->SetInput(reader->GetOutput());
+  smoothing->SetInput(input);
   confidenceConnected->SetInput(smoothing->GetOutput());
   caster->SetInput(confidenceConnected->GetOutput());
-  writer->SetInput(caster->GetOutput());
   // Software Guide : EndCodeSnippet
 
 
@@ -330,16 +319,16 @@ main(int argc, char * argv[])
 
   //  Software Guide : BeginLatex
   //
-  //  The invocation of the \code{Update()} method on the writer triggers the
-  //  execution of the pipeline.  It is recommended to place update calls in a
+  //  The invocation of \code{WriteImage} triggers the
+  //  execution of the pipeline.  It is recommended to place write calls in a
   //  \code{try/catch} block in case errors occur and exceptions are thrown.
   //
   //  Software Guide : EndLatex
 
   // Software Guide : BeginCodeSnippet
   try
   {
-    writer->Update();
+    itk::WriteImage(caster->GetOutput(), argv[2])
   }
   catch (const itk::ExceptionObject & excep)
   {

Examples/Segmentation/ConfidenceConnected3D.cxx

@@ -60,15 +60,7 @@ main(int argc, char * argv[])
     itk::CastImageFilter<InternalImageType, OutputImageType>;
   auto caster = CastingFilterType::New();
 
-
-  using ReaderType = itk::ImageFileReader<InternalImageType>;
-  using WriterType = itk::ImageFileWriter<OutputImageType>;
-
-  auto reader = ReaderType::New();
-  auto writer = WriterType::New();
-
-  reader->SetFileName(argv[1]);
-  writer->SetFileName(argv[2]);
+  const auto input = itk::ReadImage<InternalImageType>(argv[1]);
 
   using CurvatureFlowImageFilterType =
     itk::CurvatureFlowImageFilter<InternalImageType, InternalImageType>;
@@ -78,10 +70,9 @@ main(int argc, char * argv[])
     itk::ConfidenceConnectedImageFilter<InternalImageType, InternalImageType>;
   auto confidenceConnected = ConnectedFilterType::New();
 
-  smoothing->SetInput(reader->GetOutput());
+  smoothing->SetInput(input);
   confidenceConnected->SetInput(smoothing->GetOutput());
   caster->SetInput(confidenceConnected->GetOutput());
-  writer->SetInput(caster->GetOutput());
 
   smoothing->SetNumberOfIterations(2);
   smoothing->SetTimeStep(0.05);
@@ -123,7 +114,7 @@ main(int argc, char * argv[])
 
   try
   {
-    writer->Update();
+    itk::WriteImage(caster->GetOutput(), argv[2]);
   }
   catch (const itk::ExceptionObject & excep)
   {

Examples/Segmentation/ConnectedThresholdImageFilter.cxx

@@ -130,15 +130,7 @@ main(int argc, char * argv[])
 
   // We instantiate reader and writer types
   //
-  using ReaderType = itk::ImageFileReader<InternalImageType>;
-  using WriterType = itk::ImageFileWriter<OutputImageType>;
-
-  auto reader = ReaderType::New();
-  auto writer = WriterType::New();
-
-  reader->SetFileName(argv[1]);
-  writer->SetFileName(argv[2]);
-
+  const auto input = itk::ReadImage<InternalImageType>(argv[1]);
 
   //  Software Guide : BeginLatex
   //
@@ -204,7 +196,6 @@ main(int argc, char * argv[])
   smoothing->SetInput(reader->GetOutput());
   connectedThreshold->SetInput(smoothing->GetOutput());
   caster->SetInput(connectedThreshold->GetOutput());
-  writer->SetInput(caster->GetOutput());
   // Software Guide : EndCodeSnippet
 
 
@@ -294,7 +285,7 @@ main(int argc, char * argv[])
   // Software Guide : BeginCodeSnippet
   try
   {
-    writer->Update();
+    itk::WriteImage(caster->GetOutput(), argv[2]);
   }
   catch (const itk::ExceptionObject & excep)
   {

Examples/Segmentation/CurvesLevelSetImageFilter.cxx

@@ -140,18 +140,7 @@ main(int argc, char * argv[])
   thresholder->SetOutsideValue(0);
   thresholder->SetInsideValue(255);
 
-
-  // We instantiate reader and writer types in the following lines.
-  //
-  using ReaderType = itk::ImageFileReader<InternalImageType>;
-  using WriterType = itk::ImageFileWriter<OutputImageType>;
-
-  auto reader = ReaderType::New();
-  auto writer = WriterType::New();
-
-  reader->SetFileName(argv[1]);
-  writer->SetFileName(argv[2]);
-
+  const auto input = itk::ReadImage<InternalImageType>(argv[1]);
 
   //  The RescaleIntensityImageFilter type is declared below. This filter will
   //  renormalize image before sending them to writers.
@@ -278,15 +267,14 @@ main(int argc, char * argv[])
   //  Software Guide : EndLatex
 
   // Software Guide : BeginCodeSnippet
-  smoothing->SetInput(reader->GetOutput());
+  smoothing->SetInput(input);
   gradientMagnitude->SetInput(smoothing->GetOutput());
   sigmoid->SetInput(gradientMagnitude->GetOutput());
 
   geodesicActiveContour->SetInput(fastMarching->GetOutput());
   geodesicActiveContour->SetFeatureImage(sigmoid->GetOutput());
 
   thresholder->SetInput(geodesicActiveContour->GetOutput());
-  writer->SetInput(thresholder->GetOutput());
   // Software Guide : EndCodeSnippet
 
 
@@ -400,37 +388,25 @@ main(int argc, char * argv[])
   auto caster3 = CastFilterType::New();
   auto caster4 = CastFilterType::New();
 
-  auto writer1 = WriterType::New();
-  auto writer2 = WriterType::New();
-  auto writer3 = WriterType::New();
-  auto writer4 = WriterType::New();
-
   caster1->SetInput(smoothing->GetOutput());
-  writer1->SetInput(caster1->GetOutput());
-  writer1->SetFileName("CurvesImageFilterOutput1.png");
   caster1->SetOutputMinimum(0);
   caster1->SetOutputMaximum(255);
-  writer1->Update();
+  itk::WriteImage(caster1->GetOutput(), "CurvesImageFilterOutput1.png");
 
   caster2->SetInput(gradientMagnitude->GetOutput());
-  writer2->SetInput(caster2->GetOutput());
-  writer2->SetFileName("CurvesImageFilterOutput2.png");
   caster2->SetOutputMinimum(0);
   caster2->SetOutputMaximum(255);
-  writer2->Update();
+  itk::WriteImage(caster2->GetOutput(), "CurvesImageFilterOutput2.png");
 
   caster3->SetInput(sigmoid->GetOutput());
-  writer3->SetInput(caster3->GetOutput());
-  writer3->SetFileName("CurvesImageFilterOutput3.png");
   caster3->SetOutputMinimum(0);
   caster3->SetOutputMaximum(255);
-  writer3->Update();
+  itk::WriteImage(caster3->GetOutput(), "CurvesImageFilterOutput3.png");
 
   caster4->SetInput(fastMarching->GetOutput());
-  writer4->SetInput(caster4->GetOutput());
-  writer4->SetFileName("CurvesImageFilterOutput4.png");
   caster4->SetOutputMinimum(0);
   caster4->SetOutputMaximum(255);
+  itk::WriteImage(caster4->GetOutput(), "CurvesImageFilterOutput4.png");
 
 
   //  The FastMarchingImageFilter requires the user to specify the
@@ -440,8 +416,7 @@ main(int argc, char * argv[])
   //  only after the \code{Update()} methods of this filter has been called
   //  directly or indirectly.
   //
-  fastMarching->SetOutputSize(
-    reader->GetOutput()->GetBufferedRegion().GetSize());
+  fastMarching->SetOutputSize(input->GetBufferedRegion().GetSize());
 
 
   //  Software Guide : BeginLatex
@@ -455,7 +430,7 @@ main(int argc, char * argv[])
   // Software Guide : BeginCodeSnippet
   try
   {
-    writer->Update();
+    itk::WriteImage(thresholder->GetOutput(), argv[2])
   }
   catch (const itk::ExceptionObject & excep)
   {
@@ -477,8 +452,6 @@ main(int argc, char * argv[])
   std::cout << "RMS change: " << geodesicActiveContour->GetRMSChange()
             << std::endl;
 
-  writer4->Update();
-
 
   // The following writer type is used to save the output of the time-crossing
   // map in a file with appropriate pixel representation. The advantage of