1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
|
/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 itkImageRandomSampler_h
#define itkImageRandomSampler_h
#include "itkImageRandomSamplerBase.h"
namespace itk
{
/** \class ImageRandomSampler
*
* \brief Samples randomly some voxels of an image.
*
* This image sampler randomly samples 'NumberOfSamples' voxels in
* the InputImageRegion. Voxels may be selected multiple times.
* If a mask is given, the sampler tries to find samples within the
* mask. If the mask is very sparse, this may take some time. In this case,
* consider using the ImageRandomSamplerSparseMask.
*
* \ingroup ImageSamplers
*/
template <class TInputImage>
class ITK_TEMPLATE_EXPORT ImageRandomSampler : public ImageRandomSamplerBase<TInputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(ImageRandomSampler);
/** Standard ITK-stuff. */
using Self = ImageRandomSampler;
using Superclass = ImageRandomSamplerBase<TInputImage>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ImageRandomSampler, ImageRandomSamplerBase);
/** Typedefs inherited from the superclass. */
using typename Superclass::DataObjectPointer;
using typename Superclass::OutputVectorContainerType;
using typename Superclass::OutputVectorContainerPointer;
using typename Superclass::InputImageType;
using typename Superclass::InputImagePointer;
using typename Superclass::InputImageConstPointer;
using typename Superclass::InputImageRegionType;
using typename Superclass::InputImagePixelType;
using typename Superclass::ImageSampleType;
using typename Superclass::ImageSampleValueType;
using typename Superclass::ImageSampleContainerType;
using typename Superclass::ImageSampleContainerPointer;
using typename Superclass::MaskType;
using typename Superclass::InputImageSizeType;
/** The input image dimension. */
itkStaticConstMacro(InputImageDimension, unsigned int, Superclass::InputImageDimension);
/** Other typedefs. */
using InputImageIndexType = typename InputImageType::IndexType;
using InputImagePointType = typename InputImageType::PointType;
protected:
/** The constructor. */
ImageRandomSampler() = default;
/** The destructor. */
~ImageRandomSampler() override = default;
/** Functions that do the work. */
void
GenerateData() override;
private:
struct UserData
{
ITK_DISALLOW_COPY_AND_MOVE(UserData);
const std::vector<double> & m_RandomNumberList;
const InputImageType & m_InputImage;
InputImageIndexType m_RegionIndex{};
InputImageSizeType m_RegionSize{};
std::vector<ImageSampleType> & m_Samples;
};
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION
ThreaderCallback(void * arg);
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkImageRandomSampler.hxx"
#endif
#endif // end #ifndef itkImageRandomSampler_h
|