| Package | Description |
|---|---|
| net.imagej.axis |
| Modifier and Type | Class and Description |
|---|---|
class |
ChapmanRichardsAxis
Implement an axis that uses Chapman and Richards method of scaling.
|
class |
DefaultLinearAxis
Default implementation of
LinearAxis. |
class |
ExponentialAxis
ExponentialAxis is a
CalibratedAxis that scales raw values by the
equation y = a + b * exp(c + d*x). |
class |
ExponentialRecoveryAxis
ExponentialRecoveryAxis is a
CalibratedAxis that scales raw values by
the equation y = a + b * (1 - exp(c + d*x)). |
class |
GammaVariateAxis
GammaVariateAxis is a
CalibratedAxis that scales raw values by the
equation y = a * (x-b)^c*exp(-(x-b)/d). |
class |
GaussianAxis
GaussianAxis is a
CalibratedAxis that scales raw values by the
equation y = a + (b-a)*exp(-(x-c)*(x-c)/(2*d*d)). |
class |
IdentityAxis
IdentityAxis is a
CalibratedAxis whose raw and calibrated values are
the same. |
class |
InverseRodbardAxis
InverseRodbardAxis is a
CalibratedAxis that scales raw values by the
equation y = a*((x-b)/(c-x))^(1/d). |
class |
LogLinearAxis
LogLinearAxis is a
CalibratedAxis that scales raw values by the
equation y = a + b * ln(c + d*x). |
class |
PolynomialAxis
PolynomialAxis is a
CalibratedAxis that scale nonlinearly as a
polynomial of degree >= 2. |
class |
PowerAxis
PowerAxis is a
CalibratedAxis that scales raw values by the equation
y = a + b*x^c. |
class |
RodbardAxis
RodbardAxis is a
CalibratedAxis that scales raw values by the
equation y = a + (b-a) / (1 + (x/c)^d). |
class |
Variable1Axis
Abstract superclass for axes with one variable.
|
class |
Variable2Axis
Abstract superclass for axes with two variables.
|
class |
Variable3Axis
Abstract superclass for axes with three variables.
|
class |
Variable4Axis
Abstract superclass for axes with four variables.
|
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