MeasurementFrameConfig.cpp

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#include <boost/filesystem.hpp>
 
#include "SEFramework/Image/ConstantImage.h"
#include "SEFramework/Image/ProcessedImage.h"
 
#include "SEImplementation/Background/BackgroundAnalyzerFactory.h"
#include "SEImplementation/Configuration/MeasurementImageConfig.h"
 
#include "SEImplementation/Configuration/MeasurementFrameConfig.h"
 
using namespace Euclid::Configuration;
 
namespace SourceXtractor {
 
MeasurementFrameConfig::MeasurementFrameConfig(long manager_id) : Configuration(manager_id) {
  declareDependency<MeasurementImageConfig>();
  declareDependency<BackgroundAnalyzerFactory>();
}
 
void MeasurementFrameConfig::initialize(const UserValues&) {
  const auto& image_infos = getDependency<MeasurementImageConfig>().getImageInfos();
  const auto& background_analyzer_factory = getDependency<BackgroundAnalyzerFactory>();
 
  for (auto& image_info : image_infos) {
    auto measurement_frame = std::make_shared<MeasurementImageFrame>(
        image_info.m_measurement_image,
        image_info.m_weight_image,
        image_info.m_weight_threshold,
        image_info.m_coordinate_system,
        image_info.m_gain,
        image_info.m_saturation_level,
        false);
 
    auto background_analyzer = background_analyzer_factory.createBackgroundAnalyzer(image_info.m_weight_type);
    auto background_model = background_analyzer->analyzeBackground(
        image_info.m_measurement_image,
        image_info.m_weight_image,
        ConstantImage<unsigned char>::create(image_info.m_measurement_image->getWidth(),
            image_info.m_measurement_image->getHeight(), false),
        measurement_frame->getVarianceThreshold());
 
    if (image_info.m_is_background_constant) {
      measurement_frame->setBackgroundLevel(image_info.m_constant_background_value);
    } else {
      measurement_frame->setBackgroundLevel(background_model.getLevelMap(), background_model.getMedianRms());
    }
 
    std::stringstream label;
    label << boost::filesystem::basename(image_info.m_path) << "_" << image_info.m_image_hdu;
    measurement_frame->setLabel(label.str());
 
    if (image_info.m_weight_image != nullptr) {
      if (image_info.m_absolute_weight) {
        measurement_frame->setVarianceMap(image_info.m_weight_image);
      } else {
        auto scaled_image = MultiplyImage<SeFloat>::create(
            image_info.m_weight_image,
            background_model.getScalingFactor());
        measurement_frame->setVarianceMap(scaled_image);
        if (image_info.m_weight_threshold < std::numeric_limits<WeightImage::PixelType>::max())
          measurement_frame->setVarianceThreshold(image_info.m_weight_threshold*background_model.getScalingFactor());
      }
    } else {
      measurement_frame->setVarianceMap(background_model.getVarianceMap());
    }
 
    m_measurement_frames[image_info.m_id] = measurement_frame;
  }
 
}
 
}