| Package | Description |
|---|---|
| net.imglib2.algorithm.localization |
An imglib2 package dedicated to various techniques enabling the precise
localization of objects in image, possible with sub-pixel accuracy.
|
| Modifier and Type | Class and Description |
|---|---|
class |
EllipticGaussianOrtho
A n-dimensional Gaussian peak function, representing an elliptical Gaussian,
with axis constrained to be aligned with the main axis.
|
class |
Gaussian
A n-dimensional, symmetric Gaussian peak function.
|
| Modifier and Type | Method and Description |
|---|---|
static double |
LevenbergMarquardtSolver.chiSquared(double[][] x,
double[] a,
double[] y,
FitFunction f)
Calculate the current sum-squared-error
|
void |
LevenbergMarquardtSolver.fit(double[][] x,
double[] y,
double[] a,
FitFunction f) |
void |
FunctionFitter.fit(double[][] x,
double[] y,
double[] a,
FitFunction f)
Minimizes
E = sum {(y[k] - f(x[k],a)) }^2. |
void |
DummySolver.fit(double[][] x,
double[] y,
double[] a,
FitFunction f) |
static int |
LevenbergMarquardtSolver.solve(double[][] x,
double[] a,
double[] y,
FitFunction f,
double lambda,
double termepsilon,
int maxiter)
Minimize E = sum {(y[k] - f(x[k],a)) }^2
Note that function implements the value and gradient of f(x,a),
NOT the value and gradient of E with respect to a!
|
| Constructor and Description |
|---|
PeakFitter(RandomAccessibleInterval<T> image,
Collection<Localizable> peaks,
FunctionFitter fitter,
FitFunction peakFunction,
StartPointEstimator estimator) |
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