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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkHessianToObjectnessMeasureImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkHessianRecursiveGaussianImageFilter.h"
#include "itkTestingMacros.h"
int itkHessianToObjectnessMeasureImageFilterTest( int argc, char *argv[] )
{
if ( argc < 3 )
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << argv[0]
<< " inputImage"
<< " outputImage [ObjectDimension] [Bright/Dark]" << std::endl;
return EXIT_FAILURE;
}
// Define the dimension of the images
const unsigned char Dimension = 2;
typedef float PixelType;
// Declare the types of the images
typedef itk::Image< PixelType, Dimension > ImageType;
typedef itk::ImageFileReader< ImageType > FileReaderType;
// Declare the type of the recursive Gaussian filter
typedef itk::HessianRecursiveGaussianImageFilter<
ImageType > GaussianImageFilterType;
typedef GaussianImageFilterType::OutputImageType HessianImageType;
// Delcare the type of objectness measure image filter
typedef itk::HessianToObjectnessMeasureImageFilter< HessianImageType, ImageType >
ObjectnessFilterType;
FileReaderType::Pointer imageReader = FileReaderType::New();
imageReader->SetFileName( argv[1] );
TRY_EXPECT_NO_EXCEPTION( imageReader->Update() );
// Create a Gaussian filter
GaussianImageFilterType::Pointer gaussianFilter = GaussianImageFilterType::New();
// Create an objectness filter
ObjectnessFilterType::Pointer objectnessFilter = ObjectnessFilterType::New();
EXERCISE_BASIC_OBJECT_METHODS( objectnessFilter, HessianToObjectnessMeasureImageFilter,
ImageToImageFilter );
// Connect the input images
gaussianFilter->SetInput( imageReader->GetOutput() );
objectnessFilter->SetInput( gaussianFilter->GetOutput() );
// Set the filter properties
bool scaleObjectnessMeasure = false;
TEST_SET_GET_BOOLEAN( objectnessFilter, ScaleObjectnessMeasure, scaleObjectnessMeasure );
bool brightObject = true;
TEST_SET_GET_BOOLEAN( objectnessFilter, BrightObject, brightObject );
double alphaValue = 0.5;
objectnessFilter->SetAlpha( alphaValue );
TEST_SET_GET_VALUE( alphaValue, objectnessFilter->GetAlpha() );
double betaValue = 0.5;
objectnessFilter->SetBeta( betaValue );
TEST_SET_GET_VALUE( betaValue, objectnessFilter->GetBeta() );
double gammaValue = 0.5;
objectnessFilter->SetGamma( gammaValue );
TEST_SET_GET_VALUE( gammaValue, objectnessFilter->GetGamma() );
// Check that an exception is thrown if the object dimension is larger than
// the image dimension
objectnessFilter->SetObjectDimension( 3 );
TRY_EXPECT_EXCEPTION( objectnessFilter->Update() );
if( argc >= 3 )
{
unsigned int objectDimension = atoi( argv[3] );
objectnessFilter->SetObjectDimension( objectDimension );
TEST_SET_GET_VALUE( objectDimension, objectnessFilter->GetObjectDimension() );
}
if( argc >= 4 )
{
brightObject = atoi( argv[4] );
objectnessFilter->SetBrightObject( brightObject );
TEST_SET_GET_VALUE( brightObject, objectnessFilter->GetBrightObject() );
}
TRY_EXPECT_NO_EXCEPTION( objectnessFilter->Update() );
// Write the output image
typedef itk::ImageFileWriter< ImageType > FileWriterType;
FileWriterType::Pointer writer = FileWriterType::New();
writer->SetFileName( argv[2] );
writer->UseCompressionOn();
writer->SetInput( objectnessFilter->GetOutput() );
TRY_EXPECT_NO_EXCEPTION( writer->Update() );
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
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