ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkScalarImageToCooccurrenceMatrixFilter.h>
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | DefaultBinsPerAxis = 256 |
Protected Types | |
typedef DataObject::Pointer | DataObjectPointer |
typedef ProcessObject::DataObjectPointerArraySizeType | DataObjectPointerArraySizeType |
Private Member Functions | |
void | NormalizeHistogram (void) |
void | operator= (const Self &) |
ScalarImageToCooccurrenceMatrixFilter (const Self &) |
Private Attributes | |
PixelType | m_InsidePixelValue |
MeasurementVectorType | m_LowerBound |
PixelType | m_Max |
PixelType | m_Min |
bool | m_Normalize |
unsigned int | m_NumberOfBinsPerAxis |
OffsetVectorConstPointer | m_Offsets |
MeasurementVectorType | m_UpperBound |
virtual void | SetInsidePixelValue (PixelType _arg) |
virtual PixelType | GetInsidePixelValue () const |
ScalarImageToCooccurrenceMatrixFilter () | |
virtual | ~ScalarImageToCooccurrenceMatrixFilter () |
void | PrintSelf (std::ostream &os, Indent indent) const |
Additional Inherited Members | |
Protected Attributes inherited from itk::ProcessObject | |
bool | m_Updating |
TimeStamp | m_OutputInformationMTime |
This class computes a co-occurence matrix (histogram) from a given image and a mask image if provided. Coocurrence matrces are used for image texture description.
This filters creates a grey-level co-occurence matrix from a N-D scalar image. This is the first step in texture 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.)
The basic idea is as follows: Given an image and an offset (e.g. (1, -1) for a 2-d image), grey-level co-occurences are pairs of intensity values for a specific pixel and the pixel at that offset from the specified pixel. These co-occurences can provide information about the visual texture of an image region – for example, an eight-bit image of alternating pixel-wide white and black vertical lines would have a large number of (0, 255) and (255, 0) co-occurences for offset (1, 0).
The offset (or offsets) along which the co-occurences are calculated can be set by the user. Traditionally, only one offset is used per histogram, and offset components in the range [-1, 1] are used. For rotation-invariant features, averages of features computed over several histograms with different offsets are generally used, instead of computing features from one histogram created with several offsets. Additionally, instead of using offsets of two or more pixels in any direction, multy-resulution techniques (e.g. image pyramids) are generally used to deal with texture at different spatial resolutions.
This class calculates a 2-d histogram of all the co-occurence pairs in the given image's requested region, for a given set of offsets. That is, if a given offset falls outside of the requested region at a particular point, that co-occurrence pair will not be added to the matrix.
The number of histogram bins on each axis can be set (defaults to 256). Also, by default the histogram min and max corresponds to the largest and smallest possible pixel value of that pixel type. To customize the histogram bounds for a given image, the max and min pixel values that will be placed in the histogram can be set manually. NB: The min and max are INCLUSIVE.
Further, the type of histogram frequency container used is an optional template parameter. By default, a dense container is used, but for images with little texture or in cases where the user wants more histogram bins, a sparse container can be used for the histogram instead.
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.
Definition at line 94 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef SmartPointer< const Self > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ConstPointer |
Reimplemented from itk::ProcessObject.
Definition at line 101 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Standard itk::ProcessObject subclass method.
Reimplemented from itk::ProcessObject.
Definition at line 184 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Reimplemented from itk::ProcessObject.
Definition at line 186 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef HistogramType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramConstPointer |
Definition at line 124 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef HistogramType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramPointer |
Definition at line 123 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef Histogram< MeasurementType, THistogramFrequencyContainer > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramType |
Definition at line 122 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageConstPointer |
Definition at line 111 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImagePointer |
Definition at line 110 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef TImageType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageType |
Definition at line 107 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef NumericTraits< PixelType >::RealType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementType |
Definition at line 120 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef HistogramType::MeasurementVectorType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementVectorType |
Definition at line 125 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::OffsetType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetType |
Definition at line 115 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef VectorContainer< unsigned char, OffsetType > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVector |
Definition at line 116 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef OffsetVector::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorConstPointer |
Definition at line 118 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef OffsetVector::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorPointer |
Definition at line 117 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::PixelType |
Definition at line 112 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef SmartPointer< Self > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Pointer |
Reimplemented from itk::ProcessObject.
Definition at line 100 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::SizeType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RadiusType |
Definition at line 114 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ImageType::RegionType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RegionType |
Definition at line 113 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ScalarImageToCooccurrenceMatrixFilter itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Self |
Standard typedefs
Reimplemented from itk::ProcessObject.
Definition at line 98 of file itkScalarImageToCooccurrenceMatrixFilter.h.
typedef ProcessObject itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Superclass |
Reimplemented from itk::ProcessObject.
Definition at line 99 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.
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Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.
Definition at line 175 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
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This method causes the filter to generate its output.
Reimplemented from itk::ProcessObject.
const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInput | ( | ) | const |
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Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.
const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage | ( | ) | const |
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Run-time type information (and related methods).
Reimplemented from itk::ProcessObject.
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Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.
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Set number of histogram bins along each axis
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Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.
const HistogramType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOutput | ( | ) | const |
method to get the Histogram
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Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().
Reimplemented from itk::ProcessObject.
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standard New() method support
Reimplemented from itk::Object.
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Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.
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Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.
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Time when GenerateOutputInformation was last called.
Reimplemented from itk::ProcessObject.
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Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.
Reimplemented from itk::ProcessObject.
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput | ( | const ImageType * | image | ) |
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Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage | ( | const ImageType * | image | ) |
Method to set/get the mask image
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Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.
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Set number of histogram bins along each axis
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetOffset | ( | const OffsetType | offset | ) |
Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.
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Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax | ( | PixelType | min, |
PixelType | max | ||
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Set the min and max (inclusive) pixel value that will be placed in the histogram
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Definition at line 127 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 211 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 207 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 204 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 203 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 209 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 206 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 202 of file itkScalarImageToCooccurrenceMatrixFilter.h.
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Definition at line 208 of file itkScalarImageToCooccurrenceMatrixFilter.h.