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java.lang.Objectimagescience.feature.Hessian
public class Hessian
Computes Hessian eigenimages.
Field Summary | |
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Differentiator |
differentiator
The object used for image differentiation. |
Messenger |
messenger
The object used for message displaying. |
Progressor |
progressor
The object used for progress displaying. |
Constructor Summary | |
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Hessian()
Default constructor. |
Method Summary | |
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java.util.Vector<Image> |
run(Image image,
double scale,
boolean absolute)
Computes Hessian eigenimages of images. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public final Messenger messenger
public final Progressor progressor
public final Differentiator differentiator
Constructor Detail |
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public Hessian()
Method Detail |
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public java.util.Vector<Image> run(Image image, double scale, boolean absolute)
image
- The input image for which Hessian eigenimages need to be computed. If it is of type FloatImage
, it will be used to store intermediate results. Otherwise it will be left unaltered. If the size of the image in the z-dimension equals 1
, this method will compute, for every image element, the two-dimensional (2D) Hessian and its two eigenvalues. Otherwise it will compute for every image element the full three-dimensional (3D) Hessian and its three eigenvalues. These computations are performed on every x-y(-z) subimage in a 5D image.scale
- The smoothing scale at which the required image derivatives are computed. The scale is equal to the standard deviation of the Gaussian kernel used for differentiation and must be larger than 0
. In order to enforce physical isotropy, for each dimension, the scale is divided by the size of the image elements (aspect ratio) in that dimension.absolute
- Determines whether eigenvalues are compared in absolute sense.
FloatImage
.0
= the image with, for every element, the largest (absolute) eigenvalue,1
= the image with, for every element, the smallest (absolute) eigenvalue.0
= the image with, for every element, the largest (absolute) eigenvalue,1
= the image with, for every element, the middle (absolute) eigenvalue,2
= the image with, for every element, the smallest (absolute) eigenvalue.
java.lang.IllegalArgumentException
- If scale
is less than or equal to 0
.
java.lang.IllegalStateException
- If the size of the image elements (aspect ratio) is less than or equal to 0
in the x-, y-, or z-dimension.
java.lang.NullPointerException
- If image
is null
.
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Copyright (C) Erik Meijering. Permission to use this software and corresponding documentation for educational, research, and not-for-profit purposes, without a fee and without a signed licensing agreement, is granted, subject to the following terms and conditions.
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