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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 itkOtsuMultipleThresholdsImageFilter_h
#define itkOtsuMultipleThresholdsImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkFixedArray.h"
#include "itkOtsuMultipleThresholdsCalculator.h"
#include "itkScalarImageToHistogramGenerator.h"
namespace itk
{
/** \class OtsuMultipleThresholdsImageFilter
* \brief Threshold an image using multiple Otsu Thresholds.
*
* This filter creates a labeled image that separates the input
* image into various classes. The filter
* computes the thresholds using the OtsuMultipleThresholdsCalculator and
* applies those thresholds to the input image using the
* ThresholdLabelerImageFilter. The NumberOfHistogramBins and
* NumberOfThresholds can be set
* for the Calculator. The LabelOffset can be set
* for the ThresholdLabelerImageFilter.
*
* This filter also includes an option to use the valley emphasis algorithm from
* H.F. Ng, "Automatic thresholding for defect detection", Pattern Recognition Letters, (27): 1644-1649, 2006.
* The valley emphasis algorithm is particularly effective when the object to be thresholded is small.
* See the following tests for examples:
* itkOtsuMultipleThresholdsImageFilterTest3 and itkOtsuMultipleThresholdsImageFilterTest4
* To use this algorithm, simple call the setter: SetValleyEmphasis(true)
* It is turned off by default.
*
* \sa ScalarImageToHistogramGenerator
* \sa OtsuMultipleThresholdsCalculator
* \sa ThresholdLabelerImageFilter
* \ingroup IntensityImageFilters MultiThreaded
* \ingroup ITKThresholding
*/
template< typename TInputImage, typename TOutputImage >
class ITK_TEMPLATE_EXPORT OtsuMultipleThresholdsImageFilter:
public ImageToImageFilter< TInputImage, TOutputImage >
{
public:
/** Standard Self typedef */
typedef OtsuMultipleThresholdsImageFilter Self;
typedef ImageToImageFilter< TInputImage, TOutputImage > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(OtsuMultipleThresholdsImageFilter, ImageToImageFilter);
/** Image pixel value typedef. */
typedef typename TInputImage::PixelType InputPixelType;
typedef typename TOutputImage::PixelType OutputPixelType;
/** Image related typedefs. */
typedef typename TInputImage::Pointer InputImagePointer;
typedef typename TOutputImage::Pointer OutputImagePointer;
typedef typename TInputImage::SizeType InputSizeType;
typedef typename TInputImage::IndexType InputIndexType;
typedef typename TInputImage::RegionType InputImageRegionType;
typedef typename TOutputImage::SizeType OutputSizeType;
typedef typename TOutputImage::IndexType OutputIndexType;
typedef typename TOutputImage::RegionType OutputImageRegionType;
/** Threshold vector types. */
typedef itk::Statistics::ScalarImageToHistogramGenerator< TInputImage > HistogramGeneratorType;
typedef typename HistogramGeneratorType::HistogramType HistogramType;
typedef OtsuMultipleThresholdsCalculator< HistogramType > OtsuCalculatorType;
typedef typename OtsuCalculatorType::OutputType ThresholdVectorType;
/** Image related typedefs. */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
/** Set/Get the number of histogram bins. Default is 128. */
itkSetClampMacro( NumberOfHistogramBins, SizeValueType, 1, NumericTraits< SizeValueType >::max() );
itkGetConstMacro(NumberOfHistogramBins, SizeValueType);
/** Set/Get the number of thresholds. Default is 1. */
itkSetClampMacro( NumberOfThresholds, SizeValueType, 1, NumericTraits< SizeValueType >::max() );
itkGetConstMacro(NumberOfThresholds, SizeValueType);
/** Set/Get the offset which labels have to start from. Default is 0. */
itkSetClampMacro( LabelOffset, OutputPixelType, NumericTraits< OutputPixelType >::ZeroValue(),
NumericTraits< OutputPixelType >::max() );
itkGetConstMacro(LabelOffset, OutputPixelType);
/** Set/Get the use of valley emphasis. Default is false. */
itkSetMacro(ValleyEmphasis, bool);
itkGetConstReferenceMacro(ValleyEmphasis, bool);
itkBooleanMacro(ValleyEmphasis);
/** Get the computed threshold. */
const ThresholdVectorType & GetThresholds() const
{
return m_Thresholds;
}
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( OutputComparableCheck,
( Concept::Comparable< OutputPixelType > ) );
itkConceptMacro( OutputOStreamWritableCheck,
( Concept::OStreamWritable< OutputPixelType > ) );
// End concept checking
#endif
protected:
OtsuMultipleThresholdsImageFilter();
~OtsuMultipleThresholdsImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
void GenerateInputRequestedRegion() ITK_OVERRIDE;
void GenerateData() ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(OtsuMultipleThresholdsImageFilter);
SizeValueType m_NumberOfHistogramBins;
SizeValueType m_NumberOfThresholds;
OutputPixelType m_LabelOffset;
ThresholdVectorType m_Thresholds;
bool m_ValleyEmphasis;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkOtsuMultipleThresholdsImageFilter.hxx"
#endif
#endif
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