Examples with GaussianCurveFitter org.apache.commons.math3.fitting.GaussianCurveFitter used on opensource projects

Example 1 with GaussianCurveFitter

use of org.apache.commons.math3.fitting.GaussianCurveFitter in project GDSC-SMLM by aherbert.

the class FIRE method fitGaussian.

/**
	 * Fit gaussian.
	 *
	 * @param x
	 *            the x
	 * @param y
	 *            the y
	 * @return new double[] { norm, mean, sigma }
	 */
private double[] fitGaussian(float[] x, float[] y) {
    WeightedObservedPoints obs = new WeightedObservedPoints();
    for (int i = 0; i < x.length; i++) obs.add(x[i], y[i]);
    Collection<WeightedObservedPoint> observations = obs.toList();
    GaussianCurveFitter fitter = GaussianCurveFitter.create().withMaxIterations(2000);
    GaussianCurveFitter.ParameterGuesser guess = new GaussianCurveFitter.ParameterGuesser(observations);
    double[] initialGuess = null;
    try {
        initialGuess = guess.guess();
        return fitter.withStartPoint(initialGuess).fit(observations);
    } catch (TooManyEvaluationsException e) {
        // Use the initial estimate
        return initialGuess;
    } catch (Exception e) {
        // Just in case there is another exception type, or the initial estimate failed
        return null;
    }
}

Example 2 with GaussianCurveFitter

use of org.apache.commons.math3.fitting.GaussianCurveFitter in project GDSC-SMLM by aherbert.

the class PCPALMMolecules method fitGaussian.

private double[] fitGaussian(float[] x, float[] y) {
    WeightedObservedPoints obs = new WeightedObservedPoints();
    for (int i = 0; i < x.length; i++) obs.add(x[i], y[i]);
    Collection<WeightedObservedPoint> observations = obs.toList();
    GaussianCurveFitter fitter = GaussianCurveFitter.create().withMaxIterations(2000);
    GaussianCurveFitter.ParameterGuesser guess = new GaussianCurveFitter.ParameterGuesser(observations);
    double[] initialGuess = null;
    try {
        initialGuess = guess.guess();
        return fitter.withStartPoint(initialGuess).fit(observations);
    } catch (TooManyEvaluationsException e) {
        // Use the initial estimate
        return initialGuess;
    } catch (Exception e) {
        // Just in case there is another exception type, or the initial estimate failed
        return null;
    }
}