/usr/include/ITK-4.9/itkImageClassifierBase.h is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
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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 itkImageClassifierBase_h
#define itkImageClassifierBase_h
#include "itkClassifierBase.h"
#include "itkMacro.h"
#include "itkImageRegionIterator.h"
namespace itk
{
/** \class ImageClassifierBase
* \brief Base class for the ImageClassifierBase object.
*
* itkImageClassifierBase is the base class for algorithms
* that take input data as images and preserve the image structure
* while performing classification. In other words, the data is not
* converted into a list, hence filters that require spatial information
* of a pixel can use the subclasses under this tree. It provides
* the basic function definitions that are inherent to an image classifier
* objects.
*
* This is the SuperClass for the image classifier tree of the classifier
* framework. This is the class for all the classification objects available
* through the classifier framework in the ITK toolkit that hold the input
* image and the classified image data.
*
* It is templated over the type of input image, classified image. The second
* template parameter allows templating over the classified image type. The
* name "image" indicates that the basic data structure used for storing
* data/results are derived from the ITK image class.
*
* This object supports data handling of multiband images. The object
* accepts the input image in vector format only, where each pixel is a
* vector and each element of the vector corresponds to an entry from
* 1 particular band of a multiband dataset. A single band image is treated
* as a vector image with a single element for every vector. The classified
* image is treated as a single band scalar image.
*
* This class stores the input and output data as its private members.
* Before you call the Classify method to start the classification process,
* you should plug in all necessary parts as described in the superclass
* documentation.
*
* The core computation is carried out here. The function requires that
* the number of classes be set to a non zero value and the membership
* functions be populated. In addition, the number of classes should be equal
* to the number of membership functions.
*
* \ingroup ImageClassificationFilters
* \ingroup ITKClassifiers
*/
template< typename TInputImage,
typename TClassifiedImage >
class ImageClassifierBase:
public ClassifierBase< TInputImage >
{
public:
/** Standard class typedefs. */
typedef ImageClassifierBase Self;
typedef ClassifierBase< TInputImage > 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(ImageClassifierBase, ClassifierBase);
/** Type definition for the input image. */
typedef TInputImage InputImageType;
typedef typename TInputImage::Pointer InputImagePointer;
typedef typename TInputImage::ConstPointer InputImageConstPointer;
/** Type definitions for the classified image pixel type. */
typedef typename TClassifiedImage::Pointer ClassifiedImagePointer;
/** Type definitions from the Superclass */
/**Set the decision rule */
typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
/** Typedefs for membership funciton */
typedef typename Superclass::MembershipFunctionType MembershipFunctionType;
typedef typename Superclass::MembershipFunctionPointer
MembershipFunctionPointer;
typedef typename Superclass::MembershipFunctionPointerVector
MembershipFunctionPointerVector;
/** Type alias for decision rule */
typedef typename Superclass::DecisionRuleType DecisionRuleType;
/** Get/Set the input image. */
itkSetConstObjectMacro(InputImage, InputImageType);
itkGetConstObjectMacro(InputImage, InputImageType);
/** Set the classified image. */
itkSetMacro(ClassifiedImage, ClassifiedImagePointer);
/** Get the classified image. */
itkGetConstMacro(ClassifiedImage, ClassifiedImagePointer);
/** Type definition for the vector associated with
* input image pixel type. */
typedef typename TInputImage::PixelType InputImagePixelType;
/** Type definitions for the vector holding
* training image pixel type. */
typedef typename TClassifiedImage::PixelType ClassifiedImagePixelType;
/** Type definition for the input image/training iterator */
typedef
ImageRegionConstIterator< TInputImage > InputImageConstIterator;
typedef
ImageRegionIterator< TClassifiedImage > ClassifiedImageIterator;
/** Method to get the membership of a given pixel to the different classes */
std::vector< double >
GetPixelMembershipValue(const InputImagePixelType inputImagePixel);
protected:
ImageClassifierBase();
~ImageClassifierBase();
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Allocate memory for the classified image. */
void Allocate();
/** Starts the classification process */
void GenerateData() ITK_OVERRIDE;
private:
ImageClassifierBase(const Self &) ITK_DELETE_FUNCTION;
void operator=(const Self &) ITK_DELETE_FUNCTION;
typedef typename TInputImage::SizeType InputImageSizeType;
InputImageConstPointer m_InputImage;
ClassifiedImagePointer m_ClassifiedImage;
/** Define a virtual Classifier function to classify the whole image. */
virtual void Classify();
}; // class ImageClassifierBase
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkImageClassifierBase.hxx"
#endif
#endif
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