/*========================================================================= * * 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 itkCorrelationImageToImageMetricv4_hxx #define itkCorrelationImageToImageMetricv4_hxx namespace itk { template CorrelationImageToImageMetricv4::CorrelationImageToImageMetricv4() : m_AverageFix(0.0) , m_AverageMov(0.0) { this->m_DenseGetValueAndDerivativeThreader = CorrelationDenseGetValueAndDerivativeThreaderType::New(); this->m_SparseGetValueAndDerivativeThreader = CorrelationSparseGetValueAndDerivativeThreaderType::New(); m_HelperDenseThreader = CorrelationHelperDenseThreaderType::New(); m_HelperSparseThreader = CorrelationHelperSparseThreaderType::New(); if (this->m_MovingTransform->GetTransformCategory() == MovingTransformType::TransformCategoryEnum::DisplacementField) { itkExceptionMacro("does not support displacement field transforms!!"); } } template void CorrelationImageToImageMetricv4::PrintSelf(std::ostream & os, Indent indent) const { Superclass::PrintSelf(os, indent); } template void CorrelationImageToImageMetricv4::InitializeForIteration() const { Superclass::InitializeForIteration(); this->m_AverageFix = MeasureType{}; this->m_AverageMov = MeasureType{}; // compute the average intensity of the sampled pixels // Invoke the pipeline in the helper threader // refer to DomainThreader::Execute() if (this->m_UseSampledPointSet) // sparse sampling { SizeValueType numberOfPoints = this->GetNumberOfDomainPoints(); if (numberOfPoints < 1) { itkExceptionMacro("FixedSampledPointSet must have 1 or more points."); } typename ImageToImageMetricv4GetValueAndDerivativeThreader::DomainType range; range[0] = 0; range[1] = numberOfPoints - 1; this->m_HelperSparseThreader->Execute(const_cast(this), range); } else // dense sampling { this->m_HelperDenseThreader->Execute(const_cast(this), this->GetVirtualRegion()); } /* * the results: * this->m_AverageFix * this->m_AverageMov * will be stored during helper::AfterThreadedExecution() */ } } // end namespace itk #endif