ENH: Ingest ITKTextureFeatures into Modules/Filtering

Modules/Filtering/TextureFeatures/CMakeLists.txt

@@ -0,0 +1,3 @@
+project(TextureFeatures)
+
+itk_module_impl()

Modules/Filtering/TextureFeatures/README.md

@@ -0,0 +1,31 @@
+# TextureFeatures
+
+In-tree ITK module providing N-dimensional textural feature image
+filters. The flagship classes compute first-order, run-length, and
+co-occurrence (GLCM) texture features over a sliding window for each
+voxel of an input image, producing per-feature output maps suitable
+for radiomics and computer-vision pipelines.
+
+The flagship filters are
+`itk::CoocurrenceTextureFeaturesImageFilter`,
+`itk::FirstOrderTextureFeaturesImageFilter`, and
+`itk::RunLengthTextureFeaturesImageFilter`, with supporting
+`itk::DigitizerFunctor` and `itk::FirstOrderTextureHistogram` building
+blocks.
+
+## Origin
+
+Ingested from the standalone remote module
+[**InsightSoftwareConsortium/ITKTextureFeatures**](https://github.com/InsightSoftwareConsortium/ITKTextureFeatures)
+on 2026-05-08, following the v4 ingestion guidelines defined in
+InsightSoftwareConsortium/ITK#6204. The upstream repository will be
+archived read-only after this PR merges; it remains reachable at the
+URL above for historical reference (notably the `doc/` and `example/`
+directories, which were intentionally left in the upstream archive).
+
+## References
+
+- Vimort J., McCormick M., Budin F., Paniagua B.
+  *Computing Textural Feature Maps for N-Dimensional images.*
+  The Insight Journal. January-December. 2017.
+  <https://doi.org/10.54294/qy48ty>

Modules/Filtering/TextureFeatures/include/itkCoocurrenceTextureFeaturesImageFilter.h

@@ -0,0 +1,263 @@
+/*=========================================================================
+ *
+ *  Copyright NumFOCUS
+ *
+ *  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
+ *
+ *         https://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 itkCoocurrenceTextureFeaturesImageFilter_h
+#define itkCoocurrenceTextureFeaturesImageFilter_h
+
+#include "itkImageToImageFilter.h"
+#include "itkConstNeighborhoodIterator.h"
+#include "itkVectorContainer.h"
+
+namespace itk
+{
+namespace Statistics
+{
+/** \class CoocurrenceTextureFeaturesImageFilter
+ *  \brief This class computes texture descriptions for each voxel of
+ *  a given image and a mask image if provided. The output image can then be
+ *  displayed by using colormaps.
+ *
+ * This filter computes a N-D image where each voxel will contain
+ * a vector of up to 8 scalars representing the texture features
+ * (of the specified neighborhood) from a N-D scalar image.
+ * The texture features are computed for each spatial
+ * direction and averaged afterward.
+ *
+ * This filter use grey-level co-occurence matrix in order to compute  description a la Haralick. (See
+ * Haralick, R.M., K. Shanmugam and I. Dinstein. 1973. Textural Features for
+ * Image Classification. IEEE Transactions on Systems, Man and Cybernetics.
+ * SMC-3(6):610-620. See also Haralick, R.M. 1979. Statistical and Structural
+ * Approaches to Texture. Proceedings of the IEEE, 67:786-804.)
+ *
+ * Template Parameters:
+ * -# The input image type: a N dimensional image where the pixel type MUST be integer.
+ * -# The output image type: a N dimensional image where the pixel type MUST be a vector of floating points or a
+ *VectorImage.
+ *
+ * Inputs and parameters:
+ * -# An image
+ * -# A mask defining the region over which texture features will be
+ *    calculated. (Optional)
+ * -# The pixel value that defines the "inside" of the mask. (Optional, defaults
+ *    to 1 if a mask is set.)
+ * -# The number of intensity bins. (Optional, defaults to 256.)
+ * -# The set of directions (offsets) to average across. (Optional, defaults to
+ *    {(-1, 0), (-1, -1), (0, -1), (1, -1)} for 2D images and scales analogously
+ *    for ND images.)
+ * -# The pixel intensity range over which the features will be calculated.
+ *    (Optional, defaults to the full dynamic range of the pixel type.)
+ * -# The size of the neighborhood radius. (Optional, defaults to 2.)
+ *
+ * Recommendations:
+ * -# Input image: To improve the computation time, the useful data should take as much
+ *    space as possible in the input image. If the useful data is concentrated in one part of
+ *    the image a crop step should be considered prior to the usage of this filter.
+ * -# Mask: Even if optional, the usage of a mask will greatly improve the computation time.
+ * -# Number of intensity bins: The number of bins should be adapted to the type of results expected
+ *    and the intensity range. In addition a high number of bins will increase the
+ *    computation time.
+ * -# Pixel intensity range: For better results the Pixel intensity should be adapted to the input image
+ *    intensity range. For example they could be the minimum and maximum intensity of the image, or 0 and
+ *    the maximum intensity (if the negative values are considered as noise).
+ *
+ * WARNING: This probably won't work for pixels of double or long-double type
+ * unless you set the histogram min and max manually. This is because the largest
+ * histogram bin by default has max value of the largest possible pixel value
+ * plus 1. For double and long-double types, whose "RealType" as defined by the
+ * NumericTraits class is the same, and thus cannot hold any larger values,
+ * this would cause a float overflow.
+ *
+ * \sa HistogramToTextureFeaturesFilter
+ * \sa ScalarImageToCooccurrenceMatrixFilte
+ * \sa ScalarImageToTextureFeaturesFilter
+ *
+ * \author: Jean-Baptiste Vimort
+ * \ingroup TextureFeatures
+ **/
+
+template <typename TInputImage,
+          typename TOutputImage,
+          typename TMaskImage = Image<unsigned char, TInputImage::ImageDimension>>
+class ITK_TEMPLATE_EXPORT CoocurrenceTextureFeaturesImageFilter : public ImageToImageFilter<TInputImage, TOutputImage>
+{
+public:
+  /** Standard type alias */
+  using Self = CoocurrenceTextureFeaturesImageFilter;
+  using Superclass = ImageToImageFilter<TInputImage, TOutputImage>;
+  using Pointer = SmartPointer<Self>;
+  using ConstPointer = SmartPointer<const Self>;
+
+  /** Run-time type information (and related methods). */
+  itkOverrideGetNameOfClassMacro(CoocurrenceTextureFeaturesImageFilter);
+
+  /** standard New() method support */
+  itkNewMacro(Self);
+
+  using InputImageType = TInputImage;
+  using OutputImageType = TOutputImage;
+  using MaskImageType = TMaskImage;
+
+  using PixelType = typename InputImageType::PixelType;
+  using MaskPixelType = typename MaskImageType::PixelType;
+  using IndexType = typename InputImageType::IndexType;
+  using PointType = typename InputImageType::PointType;
+
+  using OffsetType = typename InputImageType::OffsetType;
+  using OffsetVector = VectorContainer<unsigned char, OffsetType>;
+  using OffsetVectorPointer = typename OffsetVector::Pointer;
+  using OffsetVectorConstPointer = typename OffsetVector::ConstPointer;
+
+  using InputRegionType = typename InputImageType::RegionType;
+  using OutputRegionType = typename OutputImageType::RegionType;
+
+  using NeighborhoodRadiusType = typename itk::ConstNeighborhoodIterator<InputImageType>::RadiusType;
+
+  using MeasurementType = typename NumericTraits<PixelType>::RealType;
+  using RealType = typename NumericTraits<PixelType>::RealType;
+
+  /** Method to set/get the Neighborhood radius */
+  itkSetMacro(NeighborhoodRadius, NeighborhoodRadiusType);
+  itkGetConstMacro(NeighborhoodRadius, NeighborhoodRadiusType);
+
+  /** Method to set the mask image */
+  itkSetInputMacro(MaskImage, MaskImageType);
+
+  /** Method to get the mask image */
+  itkGetInputMacro(MaskImage, MaskImageType);
+
+
+  /** Specify the default number of bins per axis */
+  static constexpr unsigned int DefaultBinsPerAxis = 256;
+
+  /**
+   * Set the offsets over which the intensities pairs will be computed.
+   * Invoking this function clears the previous offsets.
+   * Note: for each individual offset in the OffsetVector, the rightmost non-zero
+   * offset element must be positive. For example, in the offset list of a 2D image,
+   * (1, 0) means the offset  along x-axis. (1, 0) has to be set instead
+   * of (-1, 0). This is required from the iterating order of pixel iterator.
+   *
+   */
+  itkSetObjectMacro(Offsets, OffsetVector);
+
+  /**
+   * Set offset over which the intensities pairs will be computed.
+   * Invoking this function clears the previous offset(s).
+   * Note: for each individual offset, the rightmost non-zero
+   * offset element must be positive. For example, in the offset list of a 2D image,
+   * (1, 0) means the offset  along x-axis. (1, 0) has to be set instead
+   * of (-1, 0). This is required from the iterating order of pixel iterator.
+   *
+   */
+  void
+  SetOffset(const OffsetType offset);
+
+  /**
+   * Get the current offset(s).
+   */
+  itkGetModifiableObjectMacro(Offsets, OffsetVector);
+
+  /** Set number of histogram bins along each axis */
+  itkSetMacro(NumberOfBinsPerAxis, unsigned int);
+
+  /** Get number of histogram bins along each axis */
+  itkGetConstMacro(NumberOfBinsPerAxis, unsigned int);
+
+  /** Get the max pixel value defining one dimension of the joint histogram. */
+  itkGetConstMacro(HistogramMaximum, PixelType);
+  itkSetMacro(HistogramMaximum, PixelType);
+
+  /** Get the min pixel value defining one dimension of the joint histogram. */
+  itkGetConstMacro(HistogramMinimum, PixelType);
+  itkSetMacro(HistogramMinimum, PixelType);
+
+  /**
+   * Set the pixel value of the mask that should be considered "inside" the
+   * object. Defaults to 1.
+   */
+  itkSetMacro(InsidePixelValue, MaskPixelType);
+  itkGetConstMacro(InsidePixelValue, MaskPixelType);
+
+  /** Set the calculator to normalize the histogram (divide all bins by the
+    total frequency). Normalization is off by default. */
+  itkSetMacro(Normalize, bool);
+  itkGetConstMacro(Normalize, bool);
+  itkBooleanMacro(Normalize);
+
+  using OutputPixelType = typename OutputImageType::PixelType;
+  using OutputRealType = typename NumericTraits<OutputPixelType>::ScalarRealType;
+
+#ifdef ITK_USE_CONCEPT_CHECKING
+  // Begin concept checking
+  itkConceptMacro(OutputPixelTypeCheck, (Concept::IsFloatingPoint<OutputRealType>));
+  // End concept checking
+#endif
+
+protected:
+  using HistogramIndexType = int;
+  using DigitizedImageType = itk::Image<HistogramIndexType, TInputImage::ImageDimension>;
+  using NeighborhoodIteratorType = typename itk::ConstNeighborhoodIterator<DigitizedImageType>;
+  using NeighborIndexType = typename NeighborhoodIteratorType::NeighborIndexType;
+
+  CoocurrenceTextureFeaturesImageFilter();
+  ~CoocurrenceTextureFeaturesImageFilter() override = default;
+
+  bool
+  IsInsideNeighborhood(const OffsetType & iteratedOffset);
+  void
+  ComputeFeatures(const vnl_matrix<unsigned int> &   hist,
+                  const unsigned int                 totalNumberOfFreq,
+                  typename TOutputImage::PixelType & outputPixel);
+  void
+  ComputeMeansAndVariances(const vnl_matrix<unsigned int> & hist,
+                           const unsigned int               totalNumberOfFreq,
+                           double &                         pixelMean,
+                           double &                         marginalMean,
+                           double &                         marginalDevSquared,
+                           double &                         pixelVariance);
+  void
+  PrintSelf(std::ostream & os, Indent indent) const override;
+
+  /** This method causes the filter to generate its output. */
+  void
+  BeforeThreadedGenerateData() override;
+  void
+  AfterThreadedGenerateData() override;
+  void
+  DynamicThreadedGenerateData(const OutputRegionType & outputRegionForThread) override;
+  void
+  GenerateOutputInformation() override;
+
+private:
+  typename DigitizedImageType::Pointer m_DigitizedInputImage;
+
+  NeighborhoodRadiusType m_NeighborhoodRadius;
+  OffsetVectorPointer    m_Offsets;
+  unsigned int           m_NumberOfBinsPerAxis;
+  PixelType              m_HistogramMinimum;
+  PixelType              m_HistogramMaximum;
+  MaskPixelType          m_InsidePixelValue;
+  bool                   m_Normalize;
+};
+} // end of namespace Statistics
+} // end of namespace itk
+
+#ifndef ITK_MANUAL_INSTANTIATION
+#  include "itkCoocurrenceTextureFeaturesImageFilter.hxx"
+#endif
+
+#endif