Package qupath.opencv.tools

Enum Class MultiscaleFeatures.MultiscaleFeature

java.lang.Object

java.lang.Enum<MultiscaleFeatures.MultiscaleFeature>

qupath.opencv.tools.MultiscaleFeatures.MultiscaleFeature

All Implemented Interfaces:

Serializable, Comparable<MultiscaleFeatures.MultiscaleFeature>, Constable

Enclosing class:

MultiscaleFeatures

public static enum MultiscaleFeatures.MultiscaleFeature
extends Enum<MultiscaleFeatures.MultiscaleFeature>

Image features, dependent on Gaussian scale.

Nested Class Summary

Nested classes/interfaces inherited from class java.lang.Enum

Enum.EnumDesc<E extends Enum<E>>

Enum Constant Summary

Enum Constants

Enum Constant	Description
GAUSSIAN	Gaussian filter
GRADIENT_MAGNITUDE	Gradient magnitude
HESSIAN_DETERMINANT	Determinant of the Hessian matrix, calculated per pixel
HESSIAN_EIGENVALUE_MAX	Maximum eigenvalue of the 2x2 or 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)
HESSIAN_EIGENVALUE_MIDDLE	Middle eigenvalue of the 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)
HESSIAN_EIGENVALUE_MIN	Minimum eigenvalue of the 2x2 or 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)
LAPLACIAN	Laplacian of Gaussian filter
STRUCTURE_TENSOR_COHERENCE	Coherence, defined as ((l1 - l2)/(l1 + l2))^2 where l1 and l2 are the largest and second largest eigenvalues of the structure tensor respectively.
STRUCTURE_TENSOR_EIGENVALUE_MAX	Maximum eigenvalue of the 2x2 or 3x3 structure tensor, calculated per pixel (by value, not absolute value)
STRUCTURE_TENSOR_EIGENVALUE_MIDDLE	Middle eigenvalue of the 3x3 structure tensor, calculated per pixel (by value, not absolute value)
STRUCTURE_TENSOR_EIGENVALUE_MIN	Minimum eigenvalue of the 2x2 or 3x3 structure tensor, calculated per pixel (by value, not absolute value)
WEIGHTED_STD_DEV	Weighted standard deviation

Method Summary

Modifier and Type	Method	Description
boolean	supports2D()	Returns true if the feature can be computed for 2D images.
boolean	supports3D()	Returns true if the feature can be computed for 3D images (z-stacks).
String	toString()
static MultiscaleFeatures.MultiscaleFeature	valueOf(String name)	Returns the enum constant of this class with the specified name.
static MultiscaleFeatures.MultiscaleFeature[]	values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, describeConstable, equals, finalize, getDeclaringClass, hashCode, name, ordinal, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Details

GAUSSIAN

public static final MultiscaleFeatures.MultiscaleFeature GAUSSIAN

Gaussian filter

LAPLACIAN

public static final MultiscaleFeatures.MultiscaleFeature LAPLACIAN

Laplacian of Gaussian filter

WEIGHTED_STD_DEV

public static final MultiscaleFeatures.MultiscaleFeature WEIGHTED_STD_DEV

Weighted standard deviation

TODO: Document calculation

GRADIENT_MAGNITUDE

public static final MultiscaleFeatures.MultiscaleFeature GRADIENT_MAGNITUDE

Gradient magnitude

STRUCTURE_TENSOR_EIGENVALUE_MAX

public static final MultiscaleFeatures.MultiscaleFeature STRUCTURE_TENSOR_EIGENVALUE_MAX

Maximum eigenvalue of the 2x2 or 3x3 structure tensor, calculated per pixel (by value, not absolute value)

STRUCTURE_TENSOR_EIGENVALUE_MIDDLE

public static final MultiscaleFeatures.MultiscaleFeature STRUCTURE_TENSOR_EIGENVALUE_MIDDLE

Middle eigenvalue of the 3x3 structure tensor, calculated per pixel (by value, not absolute value)

STRUCTURE_TENSOR_EIGENVALUE_MIN

public static final MultiscaleFeatures.MultiscaleFeature STRUCTURE_TENSOR_EIGENVALUE_MIN

Minimum eigenvalue of the 2x2 or 3x3 structure tensor, calculated per pixel (by value, not absolute value)

STRUCTURE_TENSOR_COHERENCE

public static final MultiscaleFeatures.MultiscaleFeature STRUCTURE_TENSOR_COHERENCE

Coherence, defined as ((l1 - l2)/(l1 + l2))^2 where l1 and l2 are the largest and second largest eigenvalues of the structure tensor respectively. Where l1 == l2 the value 0 is used.

HESSIAN_DETERMINANT

public static final MultiscaleFeatures.MultiscaleFeature HESSIAN_DETERMINANT

Determinant of the Hessian matrix, calculated per pixel

HESSIAN_EIGENVALUE_MAX

public static final MultiscaleFeatures.MultiscaleFeature HESSIAN_EIGENVALUE_MAX

Maximum eigenvalue of the 2x2 or 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)

HESSIAN_EIGENVALUE_MIDDLE

public static final MultiscaleFeatures.MultiscaleFeature HESSIAN_EIGENVALUE_MIDDLE

Middle eigenvalue of the 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)

HESSIAN_EIGENVALUE_MIN

public static final MultiscaleFeatures.MultiscaleFeature HESSIAN_EIGENVALUE_MIN

Minimum eigenvalue of the 2x2 or 3x3 Hessian matrix, calculated per pixel (by value, not absolute value)

Method Details

values

public static MultiscaleFeatures.MultiscaleFeature[] values()

Returns an array containing the constants of this enum class, in the order they are declared.

Returns:

an array containing the constants of this enum class, in the order they are declared

valueOf

public static MultiscaleFeatures.MultiscaleFeature valueOf(String name)

Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum class has no constant with the specified name

NullPointerException - if the argument is null

supports2D

public boolean supports2D()

Returns true if the feature can be computed for 2D images.

Returns:

supports3D

public boolean supports3D()

Returns true if the feature can be computed for 3D images (z-stacks).

Returns:

toString

public String toString()

Overrides:

toString in class Enum<MultiscaleFeatures.MultiscaleFeature>