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/*=========================================================================
*
* 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 itkImageClassifierBase_hxx
#define itkImageClassifierBase_hxx
namespace itk
{
template <typename TInputImage, typename TClassifiedImage>
void
ImageClassifierBase<TInputImage, TClassifiedImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
itkPrintSelfObjectMacro(InputImage);
itkPrintSelfObjectMacro(ClassifiedImage);
}
template <typename TInputImage, typename TClassifiedImage>
void
ImageClassifierBase<TInputImage, TClassifiedImage>::GenerateData()
{
this->Classify();
}
template <typename TInputImage, typename TClassifiedImage>
void
ImageClassifierBase<TInputImage, TClassifiedImage>::Classify()
{
ClassifiedImagePointer classifiedImage = this->GetClassifiedImage();
// Check if the an output buffer has been allocated
if (!classifiedImage)
{
this->Allocate();
// To trigger the pipeline process
this->Modified();
}
// Set the iterators and the pixel type definition for the input image
InputImageConstPointer inputImage = this->GetInputImage();
InputImageConstIterator inIt(inputImage, inputImage->GetBufferedRegion());
// Set the iterators and the pixel type definition for the classified image
classifiedImage = this->GetClassifiedImage();
ClassifiedImageIterator classifiedIt(classifiedImage, classifiedImage->GetBufferedRegion());
// Set up the vector to store the image data
InputImagePixelType inputImagePixel;
ClassifiedImagePixelType outputClassifiedLabel;
// Set up the storage containers to record the probability
// measures for each class.
unsigned int numberOfClasses = this->GetNumberOfMembershipFunctions();
std::vector<double> discriminantScores;
discriminantScores.resize(numberOfClasses);
unsigned int classLabel;
unsigned int classIndex;
// support progress methods/callbacks
SizeValueType totalPixels = inputImage->GetBufferedRegion().GetNumberOfPixels();
SizeValueType updateVisits = totalPixels / 10;
if (updateVisits < 1)
{
updateVisits = 1;
}
int k = 0;
for (inIt.GoToBegin(); !inIt.IsAtEnd(); ++inIt, ++classifiedIt, ++k)
{
if (!(k % updateVisits))
{
this->UpdateProgress(static_cast<float>(k) / static_cast<float>(totalPixels));
}
// Read the input vector
inputImagePixel = inIt.Get();
for (classIndex = 0; classIndex < numberOfClasses; ++classIndex)
{
discriminantScores[classIndex] = (this->GetMembershipFunction(classIndex))->Evaluate(inputImagePixel);
}
classLabel = static_cast<unsigned int>(this->GetDecisionRule()->Evaluate(discriminantScores));
outputClassifiedLabel = ClassifiedImagePixelType(classLabel);
classifiedIt.Set(outputClassifiedLabel);
}
}
template <typename TInputImage, typename TClassifiedImage>
void
ImageClassifierBase<TInputImage, TClassifiedImage>::Allocate()
{
InputImageConstPointer inputImage = this->GetInputImage();
InputImageSizeType inputImageSize = inputImage->GetBufferedRegion().GetSize();
ClassifiedImagePointer classifiedImage = TClassifiedImage::New();
this->SetClassifiedImage(classifiedImage);
const typename TClassifiedImage::RegionType classifiedImageRegion(inputImageSize);
classifiedImage->SetLargestPossibleRegion(classifiedImageRegion);
classifiedImage->SetBufferedRegion(classifiedImageRegion);
classifiedImage->Allocate();
}
template <typename TInputImage, typename TClassifiedImage>
std::vector<double>
ImageClassifierBase<TInputImage, TClassifiedImage>::GetPixelMembershipValue(const InputImagePixelType inputImagePixel)
{
unsigned int numberOfClasses = this->GetNumberOfClasses();
std::vector<double> pixelMembershipValue(numberOfClasses);
for (unsigned int classIndex = 0; classIndex < numberOfClasses; ++classIndex)
{
pixelMembershipValue[classIndex] = (this->GetMembershipFunction(classIndex))->Evaluate(inputImagePixel);
}
return pixelMembershipValue;
}
} // namespace itk
#endif
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