Uses of Interface net.imagej.axis.CalibratedAxis (ImageJ2 Javadocs 0-SNAPSHOT API)

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Packages that use CalibratedAxis
Package	Description
net.imagej
net.imagej.axis
net.imagej.display
net.imagej.interval
net.imagej.ops
net.imagej.sampler
net.imagej.space

Uses of CalibratedAxis in net.imagej

Methods in net.imagej that return CalibratedAxis
Modifier and Type	Method and Description
`CalibratedAxis`	DefaultDataset.`axis(int d)`

Methods in net.imagej that return types with arguments of type CalibratedAxis
Modifier and Type	Method and Description
`default Optional<CalibratedAxis>`	Dataset.`axis(AxisType type)` Gets the axis of the given type.

Methods in net.imagej with parameters of type CalibratedAxis
Modifier and Type	Method and Description
`void`	DefaultDataset.`axes(CalibratedAxis[] axes)`
`void`	DefaultDataset.`setAxes(CalibratedAxis[] axes)`
`void`	Dataset.`setAxes(CalibratedAxis[] axes)`
`void`	DefaultDataset.`setAxis(CalibratedAxis axis, int d)`

Constructors in net.imagej with parameters of type CalibratedAxis
Constructor and Description
`ImgPlus(Img<T> img, String name, CalibratedAxis... axes)`

Uses of CalibratedAxis in net.imagej.axis

Subinterfaces of CalibratedAxis in net.imagej.axis
Modifier and Type	Interface and Description
`interface`	`LinearAxis` A `CalibratedAxis` that scales coordinates along the axis in a linear fashion.

Classes in net.imagej.axis that implement CalibratedAxis
Modifier and Type	Class and Description
`class`	`AbstractCalibratedAxis` Abstract base class for `CalibratedAxis`.
`class`	`ChapmanRichardsAxis` Implement an axis that uses Chapman and Richards method of scaling.
`class`	`DefaultLinearAxis` Default implementation of `LinearAxis`.
`class`	`EnumeratedAxis` A `CalibratedAxis` whose coordinate values are explicitly enumerated by a list.
`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)/(2dd))`.
`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.
`class`	`VariableAxis` An `CalibratedAxis` whose calibration is defined by an equation with one or more variables.

Methods in net.imagej.axis that return CalibratedAxis
Modifier and Type	Method and Description
`CalibratedAxis`	CalibratedAxis.`copy()` Creates an exact duplicate of this axis.

Uses of CalibratedAxis in net.imagej.display

Methods in net.imagej.display that return CalibratedAxis
Modifier and Type	Method and Description
`CalibratedAxis`	DefaultImageDisplay.`axis(int d)`

Methods in net.imagej.display with parameters of type CalibratedAxis
Modifier and Type	Method and Description
`void`	DefaultImageDisplay.`axes(CalibratedAxis[] axes)`
`void`	DefaultImageDisplay.`setAxis(CalibratedAxis axis, int d)`

Uses of CalibratedAxis in net.imagej.interval

Classes in net.imagej.interval with type parameters of type CalibratedAxis
Modifier and Type	Class and Description
`class`	`AbstractCalibratedRealInterval<A extends CalibratedAxis>` Abstract base class for `CalibratedRealInterval`.
`interface`	`CalibratedRealInterval<A extends CalibratedAxis>` A CalibratedRealInterval marries a `TypedRealInterval` with a `CalibratedSpace`.
`class`	`CombinedCalibratedRealInterval<A extends CalibratedAxis,S extends CalibratedRealInterval<A>>` A `CombinedRealInterval` that has calibrated axes.

Constructors in net.imagej.interval with parameters of type CalibratedAxis
Constructor and Description
`AbstractCalibratedRealInterval(double[] extents, A... axes)`
`AbstractCalibratedRealInterval(double[] min, double[] max, A... axes)`
`AbstractCalibratedRealInterval(RealInterval interval, A... axes)`
`DefaultCalibratedRealInterval(double[] extents, CalibratedAxis... axes)`
`DefaultCalibratedRealInterval(double[] min, double[] max, CalibratedAxis... axes)`
`DefaultCalibratedRealInterval(RealInterval interval, CalibratedAxis... axes)`

Constructor parameters in net.imagej.interval with type arguments of type CalibratedAxis
Constructor and Description
`DefaultCalibratedRealInterval(double[] min, double[] max, List<CalibratedAxis> axes)`
`DefaultCalibratedRealInterval(double[] extents, List<CalibratedAxis> axes)`
`DefaultCalibratedRealInterval(RealInterval interval, List<CalibratedAxis> axes)`

Uses of CalibratedAxis in net.imagej.ops

Methods in net.imagej.ops with type parameters of type CalibratedAxis
Modifier and Type	Method and Description
`static <C extends CalibratedAxis> CalibratedSpace<C>`	MetadataUtil.`copyAndCleanTypedSpace(Interval inInterval, CalibratedSpace<C> in, CalibratedSpace<C> out)` copies the CalibratedAxis attributes from in to out.
`static <C extends CalibratedAxis> CalibratedSpace<C>`	MetadataUtil.`copyTypedSpace(CalibratedSpace<C> in, CalibratedSpace<C> out)` copies the CalibratedSpace attributes from in to out.

Uses of CalibratedAxis in net.imagej.sampler

Methods in net.imagej.sampler that return CalibratedAxis
Modifier and Type	Method and Description
`CalibratedAxis[]`	SamplingDefinition.`getInputCalibratedAxes()` Returns the set of `CalibratedAxis`'s that are present in the input data.
`CalibratedAxis[]`	SamplingDefinition.`getOutputCalibratedAxes()` Returns the set of `CalibratedAxis`'s that will be present in the output data.

Uses of CalibratedAxis in net.imagej.space

Classes in net.imagej.space with type parameters of type CalibratedAxis
Modifier and Type	Class and Description
`class`	`AbstractCalibratedSpace<A extends CalibratedAxis>` Abstract base class for `CalibratedSpace`.
`interface`	`CalibratedSpace<A extends CalibratedAxis>` A Euclidean space whose dimensions have units and calibrations.

Constructors in net.imagej.space with parameters of type CalibratedAxis
Constructor and Description
`AbstractCalibratedSpace(A... axes)`
`DefaultCalibratedSpace(CalibratedAxis... axes)` Constructs a new calibrated space with the given axes.

Constructor parameters in net.imagej.space with type arguments of type CalibratedAxis
Constructor and Description
`DefaultCalibratedSpace(List<CalibratedAxis> axes)` Constructs a new calibrated space with the given axes.

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