imagecomparecommand.cxx

DTMK软件开发包,此为开源软件,是一款很好的医学图像开发资源.

/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: ImageCompareCommand.cxx,v $
  Language:  C++
  Date:      $Date: 2007-08-20 12:21:34 $
  Version:   $Revision: 1.9 $

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/

#include "itkNumericTraits.h"
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkExtractImageFilter.h"
#include "itkDifferenceImageFilter.h"

#include "metaCommand.h"

#include <iostream>
#include <fstream>


#ifdef __BORLANDC__
#define ITK_TEST_DIMENSION_MAX 5
#else
#define ITK_TEST_DIMENSION_MAX 6
#endif

int RegressionTestImage (const char *, const char *, int, bool,double,int,int);

int main(int argc, char **argv)
{
  if(argc < 3)
    {
    std::cerr << "Usage:" << std::endl;
    std::cerr << "testImage, baselineImage1, [baselineImage2, baselineImage3, ...]" << std::endl;
    std::cerr << "Note that if you supply more than one baselineImage, this test will pass if any" << std::endl;
    std::cerr << "of them match the testImage" << std::endl;
    return -1;
    }
  int bestBaselineStatus = 2001;

  // Process some command-line arguments intended for BatchMake
  MetaCommand command;

  // Option for setting the tolerable difference in intensity values
  // between the two images.
  command.SetOption("toleranceIntensity","ToleranceIntensity",false,
      "Acceptable differences in pixels intensity");
  command.AddOptionField("toleranceIntensity","value",MetaCommand::FLOAT,true);

  // Option for setting the radius of the neighborhood around a pixel
  // to search for similar intensity values.
  command.SetOption("toleranceRadius","ToleranceRadius",false,
      "Neighbor pixels to look for similar values");
  command.AddOptionField("toleranceRadius","value",MetaCommand::INT,true);

  // Option for setting the number of pixel that can be tolerated to 
  // have different intensities.
  command.SetOption("toleranceNumberOfPixels","ToleranceNumberOfPixels",false,
      "Number of Pixels that are acceptable to have intensity differences");
  command.AddOptionField("toleranceNumberOfPixels","value",MetaCommand::INT,true);

  // Option for setting the filename of the test image.
  command.SetOption("testImage","TestImage",true,
      "Filename of the image to be tested against the baseline images");
  command.AddOptionField("testImage","filename",MetaCommand::STRING,true);

  // Option for setting the filename of multiple baseline images.
  command.SetOption("baselineImages","BaselineImages",false,
      "List of baseline images <N> <image1> <image2>...<imageN>");
  command.AddOptionField("baselineImages","filename",MetaCommand::LIST,true);

  // Option for setting the filename of a single baseline image.
  command.SetOption("baselineImage","BaselineImage",false,
      "Baseline images filename");
  command.AddOptionField("baselineImage","filename",MetaCommand::STRING,true);



  command.Parse( argc, argv );


  double toleranceIntensity = 0.0;
  unsigned int  toleranceRadius = 0;
  unsigned long toleranceNumberOfPixels = 0;
  std::string testImageFilename;
  std::string baselineImageFilename;

  // If a value of intensity tolerance was given in the command line
  if( command.GetOptionWasSet("toleranceIntensity") )
    {
    toleranceIntensity = 
      command.GetValueAsInt("toleranceIntensity","value");
    }
 
  // If a value of neighborhood radius tolerance was given in the command line
  if( command.GetOptionWasSet("toleranceRadius") )
    {
    toleranceRadius = 
      command.GetValueAsInt("toleranceRadius","value");
    }
 
  // If a value of number of pixels tolerance was given in the command line
  if( command.GetOptionWasSet("toleranceNumberOfPixels") )
    {
    toleranceNumberOfPixels = 
      command.GetValueAsInt("toleranceNumberOfPixels","value");
    }
     
  // Get the filename of the image to be tested
  if( command.GetOptionWasSet("testImage") )
    {
    testImageFilename = 
      command.GetValueAsString("testImage","filename");
    }
 
  std::list< std::string > baselineImageFilenames;
  baselineImageFilenames.clear();

  bool singleBaselineImage = true;

  if( !command.GetOptionWasSet("baselineImage") && !command.GetOptionWasSet("baselineImages") )
    {
    std::cerr << "You must provide a -BaselineImage or -BaselineImages option" << std::endl;
    return EXIT_FAILURE;
    }
     
  // Get the filename of the base line image
  if( command.GetOptionWasSet("baselineImage") )
    {
    singleBaselineImage = true;
    baselineImageFilename = command.GetValueAsString("baselineImage","filename");
    }

  // Get the filename of the base line image
  if( command.GetOptionWasSet("baselineImages") )
    {
    singleBaselineImage = false;
    baselineImageFilenames = command.GetValueAsList("baselineImages");
    }
  
  std::string bestBaselineFilename; 

  try
    {
    if( singleBaselineImage ) 
      {
      bestBaselineStatus = 
        RegressionTestImage(
            testImageFilename.c_str(), baselineImageFilename.c_str(),
            0, false, toleranceIntensity, toleranceRadius, 
            toleranceNumberOfPixels);
      bestBaselineFilename = baselineImageFilename;
      }
    else
      {

      typedef std::list< std::string >::const_iterator  nameIterator;
      nameIterator baselineImageItr = baselineImageFilenames.begin();
      while( baselineImageItr != baselineImageFilenames.end() )
        {
        const int currentStatus =
          RegressionTestImage(
              testImageFilename.c_str(), baselineImageItr->c_str(), 
              0, false, toleranceIntensity, toleranceRadius, 
              toleranceNumberOfPixels);
        if(currentStatus < bestBaselineStatus)
          {
          bestBaselineStatus = currentStatus;
          bestBaselineFilename = *baselineImageItr;
          }
        if(bestBaselineStatus == 0)
          {
          break;
          }
        ++baselineImageItr;
        }
      }
    // generate images of our closest match
    if(bestBaselineStatus == 0)
      {
      RegressionTestImage(
        testImageFilename.c_str(),
        bestBaselineFilename.c_str(), 1, false,
        toleranceIntensity,toleranceRadius,toleranceNumberOfPixels);
      }
    else
      {
      RegressionTestImage(
        testImageFilename.c_str(), 
        bestBaselineFilename.c_str(), 1, true,
        toleranceIntensity,toleranceRadius,toleranceNumberOfPixels);
      }
    
    }
  catch(const itk::ExceptionObject& e)
    {
    std::cerr << "ITK test driver caught an ITK exception:\n";
    std::cerr << e.GetFile() << ":" << e.GetLine() << ":\n"
              << e.GetDescription() << "\n";
    bestBaselineStatus = -1;
    }
  catch(const std::exception& e)
    {
    std::cerr << "ITK test driver caught an exception:\n";
    std::cerr << e.what() << "\n";
    bestBaselineStatus = -1;
    }
  catch(...)
    {
    std::cerr << "ITK test driver caught an unknown exception!!!\n";
    bestBaselineStatus = -1;
    }
  std::cout << bestBaselineStatus << std::endl;
  return bestBaselineStatus;
}

// Regression Testing Code
int RegressionTestImage (const char *testImageFilename, const char *baselineImageFilename,
                         int reportErrors, bool createDifferenceImage, 
                         double intensityTolerance,
                         int radiusTolerance, int numberOfPixelsTolerance)
{
  // Use the factory mechanism to read the test and baseline files and convert them to double
  typedef itk::Image<double,ITK_TEST_DIMENSION_MAX> ImageType;
  typedef itk::Image<unsigned char,ITK_TEST_DIMENSION_MAX> OutputType;
  typedef itk::Image<unsigned char,2> DiffOutputType;
  typedef itk::ImageFileReader<ImageType> ReaderType;

  // Read the baseline file
  ReaderType::Pointer baselineReader = ReaderType::New();
    baselineReader->SetFileName(baselineImageFilename);
  try
    {
    baselineReader->UpdateLargestPossibleRegion();
    }
  catch (itk::ExceptionObject& e)
    {
    std::cerr << "Exception detected while reading " << baselineImageFilename << " : "  << e.GetDescription();
    return 1000;
    }

  // Read the file generated by the test
  ReaderType::Pointer testReader = ReaderType::New();
    testReader->SetFileName(testImageFilename);
  try
    {
    testReader->UpdateLargestPossibleRegion();
    }
  catch (itk::ExceptionObject& e)
    {
    std::cerr << "Exception detected while reading " << testImageFilename << " : "  << e.GetDescription() << std::endl;
    return 1000;
    }

  // The sizes of the baseline and test image must match
  ImageType::SizeType baselineSize;
    baselineSize = baselineReader->GetOutput()->GetLargestPossibleRegion().GetSize();
  ImageType::SizeType testSize;
    testSize = testReader->GetOutput()->GetLargestPossibleRegion().GetSize();
  
  if (baselineSize != testSize)
    {
    std::cerr << "The size of the Baseline image and Test image do not match!" << std::endl;
    std::cerr << "Baseline image: " << baselineImageFilename
              << " has size " << baselineSize << std::endl;
    std::cerr << "Test image:     " << testImageFilename
              << " has size " << testSize << std::endl;
    return 1;
    }

  // Now compare the two images
  typedef itk::DifferenceImageFilter<ImageType,ImageType> DiffType;
  DiffType::Pointer diff = DiffType::New();
    diff->SetValidInput(baselineReader->GetOutput());
    diff->SetTestInput(testReader->GetOutput());
    
    diff->SetDifferenceThreshold( intensityTolerance );
    diff->SetToleranceRadius( radiusTolerance );

    diff->UpdateLargestPossibleRegion();

  bool differenceFailed = false;
  
  double averageIntensityDifference = diff->GetTotalDifference();

  unsigned long numberOfPixelsWithDifferences = 
                        diff->GetNumberOfPixelsWithDifferences();

  if( averageIntensityDifference > 0.0 )
    {
    if( static_cast<int>(numberOfPixelsWithDifferences) > numberOfPixelsTolerance )
      {
      differenceFailed = true;
      }
    else
      {
      differenceFailed = false;
      }
    }
  else
    {
    differenceFailed = false; 
    }
  
  if (reportErrors)
    {
    typedef itk::RescaleIntensityImageFilter<ImageType,OutputType> RescaleType;
    typedef itk::ExtractImageFilter<OutputType,DiffOutputType> ExtractType;
    typedef itk::ImageFileWriter<DiffOutputType> WriterType;
    typedef itk::ImageRegion<ITK_TEST_DIMENSION_MAX> RegionType;
    OutputType::IndexType index; index.Fill(0);
    OutputType::SizeType size; size.Fill(0);

    RescaleType::Pointer rescale = RescaleType::New();
      rescale->SetOutputMinimum(itk::NumericTraits<unsigned char>::NonpositiveMin());
      rescale->SetOutputMaximum(itk::NumericTraits<unsigned char>::max());
      rescale->SetInput(diff->GetOutput());
      rescale->UpdateLargestPossibleRegion();

    RegionType region;
    region.SetIndex(index);
    
    size = rescale->GetOutput()->GetLargestPossibleRegion().GetSize();
    for (unsigned int i = 2; i < ITK_TEST_DIMENSION_MAX; i++)
      {
      size[i] = 0;
      }
    region.SetSize(size);

    ExtractType::Pointer extract = ExtractType::New();
      extract->SetInput(rescale->GetOutput());
      extract->SetExtractionRegion(region);

    WriterType::Pointer writer = WriterType::New();
      writer->SetInput(extract->GetOutput());
    if(createDifferenceImage)
      {
      // if there are discrepencies, create an diff image
      std::cout << "<DartMeasurement name=\"ImageError\" type=\"numeric/double\">";
      std::cout << averageIntensityDifference;
      std::cout <<  "</DartMeasurement>" << std::endl;

      std::cout << "<DartMeasurement name=\"NumberOfPixelsError\" type=\"numeric/int\">";
      std::cout << numberOfPixelsWithDifferences;
      std::cout <<  "</DartMeasurement>" << std::endl;

      itksys_ios::ostringstream diffName;
      diffName << testImageFilename << ".diff.png";
      try
        {
        rescale->SetInput(diff->GetOutput());
        rescale->Update();
        }
      catch (...)
        {
        std::cerr << "Error during rescale of " << diffName.str() << std::endl;
        }
      writer->SetFileName(diffName.str().c_str());
      try
        {
        writer->Update();
        }
      catch (...)
        {
        std::cerr << "Error during write of " << diffName.str() << std::endl;
        }

      std::cout << "<DartMeasurementFile name=\"DifferenceImage\" type=\"image/png\">";
      std::cout << diffName.str();
      std::cout << "</DartMeasurementFile>" << std::endl;
      }
    itksys_ios::ostringstream baseName;
    baseName << testImageFilename << ".base.png";
    try
      {
      rescale->SetInput(baselineReader->GetOutput());
      rescale->Update();
      }
    catch (...)
      {
      std::cerr << "Error during rescale of " << baseName.str() << std::endl;
      }
    try
      {
      writer->SetFileName(baseName.str().c_str());
      writer->Update();
      }
    catch (...)
      {
      std::cerr << "Error during write of " << baseName.str() << std::endl;
      }

    std::cout << "<DartMeasurementFile name=\"BaselineImage\" type=\"image/png\">";
    std::cout << baseName.str();
    std::cout << "</DartMeasurementFile>" << std::endl;

    itksys_ios::ostringstream testName;
    testName << testImageFilename << ".test.png";
    try
      {
      rescale->SetInput(testReader->GetOutput());
      rescale->Update();
      }
    catch (...)
      {
      std::cerr << "Error during rescale of " << testName.str()
                << std::endl;
      }
    try
      {
      writer->SetFileName(testName.str().c_str());
      writer->Update();
      }
    catch (...)
      {
      std::cerr << "Error during write of " << testName.str() << std::endl;
      }

    std::cout << "<DartMeasurementFile name=\"TestImage\" type=\"image/png\">";
    std::cout << testName.str();
    std::cout << "</DartMeasurementFile>" << std::endl;


    }
  return differenceFailed;
}