Package inra.ijpb.measure.region3d
Class BinaryConfigurationsHistogram3D
java.lang.Object
inra.ijpb.algo.AlgoStub
inra.ijpb.measure.region3d.BinaryConfigurationsHistogram3D
- All Implemented Interfaces:
Algo
public class BinaryConfigurationsHistogram3D extends AlgoStub
Computes histogram of binary 2-by-2-by-2 configurations within a 3D image.
Implements the Algo interface, so the progress can be tracked.
- Author:
- dlegland
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Constructor Summary
Constructors Constructor Description BinaryConfigurationsHistogram3D()
Empty constructor. -
Method Summary
Modifier and Type Method Description static double[]
applyLut(int[][] histograms, double[] lut)
Applies look-up-table of values for each configuration of each region, based on the array of count for each binary configuration.static double
applyLut(int[] histogram, double[] lut)
Applies look-up-table of values for each configuration, based on the array of count for each binary configuration.int[]
process(ij.ImageStack image)
Applies a look-up-table for each of the 2x2x2 voxel configurations containing at least one voxel of the input binary image, and returns the sum of contributions for each label.int[][]
process(ij.ImageStack image, int[] labels)
Applies a look-up-table for each of the 2x2x2 voxel configurations containing at least one voxel of the input image, and returns the sum of contributions for each label.int[]
processInnerFrame(ij.ImageStack image)
Applies a look-up-table for each of the 2x2x2 voxel configurations with all voxels within the input binary image, and returns the sum of contributions for each label.Methods inherited from class inra.ijpb.algo.AlgoStub
addAlgoListener, removeAlgoListener
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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BinaryConfigurationsHistogram3D
public BinaryConfigurationsHistogram3D()Empty constructor.
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Method Details
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applyLut
public static final double applyLut(int[] histogram, double[] lut)Applies look-up-table of values for each configuration, based on the array of count for each binary configuration.- Parameters:
histogram
- the count of each type of 2-by-2-by-2 binary configurations, as a 256 arraylut
- the value to associate to each configuration- Returns:
- the sum of the products of counts by the associated value
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applyLut
public static final double[] applyLut(int[][] histograms, double[] lut)Applies look-up-table of values for each configuration of each region, based on the array of count for each binary configuration.- Parameters:
histograms
- the count of each type of 2-by-2-by-2 binary configurations, as a 256 arraylut
- the value to associate to each configuration- Returns:
- the sum of the products of counts by the associated value
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process
public int[] process(ij.ImageStack image)Applies a look-up-table for each of the 2x2x2 voxel configurations containing at least one voxel of the input binary image, and returns the sum of contributions for each label. This method is used for computing Euler number, surface area and mean beradth from binary images.- Parameters:
image
- the input 3D binary image- Returns:
- an array of 256 integers containing the number of each binary configurations
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processInnerFrame
public int[] processInnerFrame(ij.ImageStack image)Applies a look-up-table for each of the 2x2x2 voxel configurations with all voxels within the input binary image, and returns the sum of contributions for each label. This method is used for computing densities of Euler number, surface area and mean breadth from binary images.- Parameters:
image
- the input 3D binary image- Returns:
- an array of 256 integers containing the number of each binary configurations
- See Also:
process(ImageStack)
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process
public int[][] process(ij.ImageStack image, int[] labels)Applies a look-up-table for each of the 2x2x2 voxel configurations containing at least one voxel of the input image, and returns the sum of contributions for each label. This method is used for computing Euler number and surface area.- Parameters:
image
- the input 3D image of labelslabels
- the set of labels to process- Returns:
- an array of nLabels-by-256 integers containing the number of binary configurations for each label
- See Also:
processInnerFrame(ImageStack)
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