/*========================================================================= * * 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 itkNormalizedMutualInformationHistogramImageToImageMetric_hxx #define itkNormalizedMutualInformationHistogramImageToImageMetric_hxx #include "itkHistogram.h" namespace itk { template auto NormalizedMutualInformationHistogramImageToImageMetric::EvaluateMeasure( HistogramType & histogram) const -> MeasureType { MeasureType entropyX{}; MeasureType entropyY{}; MeasureType jointEntropy{}; using HistogramFrequencyRealType = typename NumericTraits::RealType; auto totalFreq = static_cast(histogram.GetTotalFrequency()); for (unsigned int i = 0; i < this->GetHistogramSize()[0]; ++i) { auto freq = static_cast(histogram.GetFrequency(i, 0)); if (freq > 0) { entropyX += freq * std::log(freq); } } entropyX = -entropyX / static_cast(totalFreq) + std::log(totalFreq); for (unsigned int i = 0; i < this->GetHistogramSize()[1]; ++i) { auto freq = static_cast(histogram.GetFrequency(i, 1)); if (freq > 0) { entropyY += freq * std::log(freq); } } entropyY = -entropyY / static_cast(totalFreq) + std::log(totalFreq); HistogramIteratorType it = histogram.Begin(); HistogramIteratorType end = histogram.End(); while (it != end) { auto freq = static_cast(it.GetFrequency()); if (freq > 0) { jointEntropy += freq * std::log(freq); } ++it; } jointEntropy = -jointEntropy / static_cast(totalFreq) + std::log(totalFreq); return (entropyX + entropyY) / jointEntropy; } } // End namespace itk #endif // itkNormalizedMutualInformationHistogramImageToImageMetric_hxx