Examples with PoissonGaussianConvolutionFunction uk.ac.sussex.gdsc.smlm.function.PoissonGaussianConvolutionFunction used on opensource projects

Example 1 with PoissonGaussianConvolutionFunction

use of uk.ac.sussex.gdsc.smlm.function.PoissonGaussianConvolutionFunction in project GDSC-SMLM by aherbert.

the class CameraModelAnalysis method getLikelihoodFunction.

private static LikelihoodFunction getLikelihoodFunction(CameraModelAnalysisSettings settings) {
    final double alpha = 1.0 / getGain(settings);
    final double noise = getReadNoise(settings);
    final Model model = Model.forNumber(settings.getModel());
    switch(model) {
        case POISSON_PMF:
            return new PoissonFunction(alpha);
        case POISSON_DISRECTE:
            return new InterpolatedPoissonFunction(alpha, false);
        case POISSON_CONTINUOUS:
            return new InterpolatedPoissonFunction(alpha, true);
        case POISSON_GAUSSIAN_PDF:
        case POISSON_GAUSSIAN_PMF:
            final PoissonGaussianConvolutionFunction f1 = PoissonGaussianConvolutionFunction.createWithStandardDeviation(alpha, noise);
            f1.setComputePmf(model == Model.POISSON_GAUSSIAN_PMF);
            return f1;
        case POISSON_GAUSSIAN_APPROX:
            return PoissonGaussianFunction2.createWithStandardDeviation(alpha, noise);
        case POISSON_POISSON:
            return PoissonPoissonFunction.createWithStandardDeviation(alpha, noise);
        case POISSON_GAMMA_GAUSSIAN_PDF_CONVOLUTION:
            return PoissonGammaGaussianConvolutionFunction.createWithStandardDeviation(alpha, noise);
        case POISSON_GAMMA_PMF:
            return PoissonGammaFunction.createWithAlpha(alpha);
        case POISSON_GAMMA_GAUSSIAN_APPROX:
        case POISSON_GAMMA_GAUSSIAN_PDF_INTEGRATION:
        case POISSON_GAMMA_GAUSSIAN_PMF_INTEGRATION:
        case POISSON_GAMMA_GAUSSIAN_SIMPSON_INTEGRATION:
        case POISSON_GAMMA_GAUSSIAN_LEGENDRE_GAUSS_INTEGRATION:
            final PoissonGammaGaussianFunction f2 = new PoissonGammaGaussianFunction(alpha, noise);
            f2.setMinimumProbability(0);
            f2.setConvolutionMode(getConvolutionMode(model));
            // The function should return a PMF/PDF depending on how it is used
            f2.setPmfMode(!settings.getSimpsonIntegration());
            return f2;
        default:
            throw new IllegalStateException();
    }
}