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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.
*
*=========================================================================*/
#ifndef itkRobustAutomaticThresholdCalculator_h
#define itkRobustAutomaticThresholdCalculator_h
#include "itkMacro.h"
#include "itkImage.h"
namespace itk
{
/** \class RobustAutomaticThresholdCalculator
* \brief Compute the robust automatic threshold
*
*
* This code was contributed in the Insight Journal paper:
* "Robust Automatic Threshold Selection"
* by Lehmann G.
* https://hdl.handle.net/1926/370
* http://www.insight-journal.org/browse/publication/134
*
*
* \ingroup Operators
* \ingroup ITKReview
*/
template< typename TInputImage, typename TGradientImage >
class RobustAutomaticThresholdCalculator:public Object
{
public:
/** Standard class typedefs. */
typedef RobustAutomaticThresholdCalculator Self;
typedef Object Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(RobustAutomaticThresholdCalculator, Object);
/** Extract the dimension of the image. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension);
/** Standard image type within this class. */
typedef TInputImage InputImageType;
typedef TGradientImage GradientImageType;
/** Standard image type pointer within this class. */
typedef typename InputImageType::Pointer InputImagePointer;
typedef typename InputImageType::ConstPointer InputImageConstPointer;
typedef typename GradientImageType::Pointer GradientImagePointer;
typedef typename GradientImageType::ConstPointer GradientImageConstPointer;
typedef typename InputImageType::PixelType InputPixelType;
typedef typename GradientImageType::PixelType GradientPixelType;
/** Set the input image. */
virtual void SetInput(const InputImageType *image)
{
if ( m_Input != image )
{
m_Input = image;
this->Modified();
m_Valid = false;
}
}
virtual void SetGradient(const GradientImageType *image)
{
if ( m_Gradient != image )
{
m_Gradient = image;
this->Modified();
m_Valid = false;
}
}
itkSetMacro(Pow, double);
itkGetConstMacro(Pow, double);
/** Compute moments of a new or modified image.
* This method computes the moments of the image given as a
* parameter and stores them in the object. The values of these
* moments and related parameters can then be retrieved by using
* other methods of this object. */
void Compute();
const InputPixelType & GetOutput() const;
protected:
RobustAutomaticThresholdCalculator();
virtual ~RobustAutomaticThresholdCalculator() {}
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
private:
RobustAutomaticThresholdCalculator(const Self &) ITK_DELETE_FUNCTION;
void operator=(const Self &) ITK_DELETE_FUNCTION;
bool m_Valid; // Have moments been computed
// yet?
double m_Pow;
InputPixelType m_Output;
InputImageConstPointer m_Input;
GradientImageConstPointer m_Gradient;
}; // class RobustAutomaticThresholdCalculator
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkRobustAutomaticThresholdCalculator.hxx"
#endif
#endif /* itkRobustAutomaticThresholdCalculator_h */
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