public double FindEquivilanceProbability(GroupDefinitionModel knownGDM, GroupDefinitionModel unknownGDM)
{
ProbabilityCalculator pC = new ProbabilityCalculator();
int weightLimmit = unknownGDM.GroupHeight * unknownGDM.GroupWidth;
return
((
pC.CalculateDifferenceProbability(knownGDM.HorizontalVariance, unknownGDM.HorizontalVariance, unknownGDM.GroupWidth * (unknownGDM.GroupWidth - 1) * (unknownGDM.GroupWidth - 1)) + // fix the varience probabilities
pC.CalculateDifferenceProbability(knownGDM.VerticleVariance, unknownGDM.VerticleVariance, unknownGDM.GroupHeight * (unknownGDM.GroupHeight - 1) * (unknownGDM.GroupHeight - 1)) +
pC.CalculateDifferenceProbability(knownGDM.HorizontalDensity, unknownGDM.HorizontalDensity, unknownGDM.GroupWidth) +
pC.CalculateDifferenceProbability(knownGDM.VerticleDensity, unknownGDM.VerticleDensity, unknownGDM.GroupHeight) +
pC.CalculateDifferenceProbability(knownGDM.Weight, unknownGDM.Weight, weightLimmit)
) / 5);
}
public GroupDefinitionModel CreateGroupDefinitionModel(Bitmap pixelGroupBitmap)
{
ImageInterpreter imageInterpreter = new ImageInterpreter();
ProbabilityCalculator probabilityCalculator = new ProbabilityCalculator();
double[] horizontalDensities = imageInterpreter.CalculateHorisontalDensities(pixelGroupBitmap);
double[] verticleDensities = imageInterpreter.CaculateVerticleDensities(pixelGroupBitmap);
return(new GroupDefinitionModel
{
Weight = imageInterpreter.CalculateWeight(pixelGroupBitmap),
HorizontalDensity = imageInterpreter.FindTotalDensity(horizontalDensities),
VerticleDensity = imageInterpreter.FindTotalDensity(verticleDensities),
HorizontalVariance = probabilityCalculator.CalculateVariance(horizontalDensities, imageInterpreter.FindTotalDensity(horizontalDensities)),
VerticleVariance = probabilityCalculator.CalculateVariance(verticleDensities, imageInterpreter.FindTotalDensity(verticleDensities))
});
}
