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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.
*
*=========================================================================*/
/*=========================================================================
*
* Portions of this file are subject to the VTK Toolkit Version 3 copyright.
*
* Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
*
* For complete copyright, license and disclaimer of warranty information
* please refer to the NOTICE file at the top of the ITK source tree.
*
*=========================================================================*/
#ifndef itkAutoCropLabelMapFilter_hxx
#define itkAutoCropLabelMapFilter_hxx
namespace itk
{
template <typename TInputImage>
AutoCropLabelMapFilter<TInputImage>::AutoCropLabelMapFilter()
{
m_CropBorder.Fill(0);
}
template <typename TInputImage>
void
AutoCropLabelMapFilter<TInputImage>::GenerateOutputInformation()
{
const InputImageType * input = this->GetInput();
// update the input if needed
if (input->GetSource())
{
ProcessObject * upstream = input->GetSource();
if (upstream)
{
upstream->Update();
}
}
// find the bounding box of the objects
IndexType minIdx;
minIdx.Fill(NumericTraits<typename TInputImage::IndexValueType>::max());
IndexType maxIdx;
maxIdx.Fill(NumericTraits<typename TInputImage::IndexValueType>::NonpositiveMin());
const InputImageType * inputImage = this->GetInput();
// iterate over all the lines
typename InputImageType::ConstIterator loit(inputImage);
while (!loit.IsAtEnd())
{
const LabelObjectType * labelObject = loit.GetLabelObject();
typename LabelObjectType::ConstLineIterator lit(labelObject);
while (!lit.IsAtEnd())
{
const IndexType & idx = lit.GetLine().GetIndex();
const typename TInputImage::IndexValueType length = lit.GetLine().GetLength();
// update the mins and maxs
for (unsigned int i = 0; i < ImageDimension; ++i)
{
if (idx[i] < minIdx[i])
{
minIdx[i] = idx[i];
}
if (idx[i] > maxIdx[i])
{
maxIdx[i] = idx[i];
}
}
// must fix the max for the axis 0
if (idx[0] + length > maxIdx[0])
{
maxIdx[0] = idx[0] + length - 1;
}
++lit;
}
++loit;
}
// final computation
SizeType regionSize;
InputImageRegionType cropRegion;
for (unsigned int i = 0; i < ImageDimension; ++i)
{
regionSize[i] = maxIdx[i] - minIdx[i] + 1;
}
cropRegion.SetIndex(minIdx);
cropRegion.SetSize(regionSize);
// pad the crop border while ensuring border is not larger than the largest
// possible region of the input image
cropRegion.PadByRadius(m_CropBorder);
cropRegion.Crop(input->GetLargestPossibleRegion());
// finally set that region as the largest output region
this->SetRegion(cropRegion);
Superclass::GenerateOutputInformation();
}
template <typename TImage>
void
AutoCropLabelMapFilter<TImage>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Crop Border: " << m_CropBorder << std::endl;
}
} // end namespace itk
#endif
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