Package inra.ijpb.measure
Class IntrinsicVolumes2D
java.lang.Object
inra.ijpb.measure.IntrinsicVolumes2D
public class IntrinsicVolumes2D
extends java.lang.Object
Computation of intrinsic volumes(area, perimeter, Euler number) in planar
binary or label images.
For binary images, a binary image is expected, together with the spatial
calibration of the image. For label images, the list of region labels within
images should be specified as an array of integers.
- Author:
- dlegland
- See Also:
IntrinsicVolumes3D
,IntrinsicVolumesAnalyzer2D
,IntrinsicVolumes2DUtils
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Method Summary
Modifier and Type Method Description static double
area(ij.process.ImageProcessor image, ij.measure.Calibration calib)
Measures the area of the foreground region within a binary image.static double
areaDensity(ij.process.ImageProcessor image)
Computes the area density for the 2D binary microstructure.static double[]
areas(ij.process.ImageProcessor image, int[] labels, ij.measure.Calibration calib)
Measures the area of each region within a label image, taking into account image resolution.static int
eulerNumber(ij.process.ImageProcessor image, int conn)
Measures the Euler number of the region within the binary image, using the specified connectivity.static double
eulerNumberDensity(ij.process.ImageProcessor image, ij.measure.Calibration calib, int conn)
Measures the Euler number density of the foreground region within a binary image, using the specified connectivity.static int[]
eulerNumbers(ij.process.ImageProcessor image, int[] labels, int conn)
Measures the Euler number of each region given in the "labels" argument, using the specified connectivity.static double
perimeter(ij.process.ImageProcessor image, ij.measure.Calibration calib, int nDirs)
Measures the perimeter of the foreground region within a binary image.static double
perimeterDensity(ij.process.ImageProcessor image, ij.measure.Calibration calib, int nDirs)
Computes perimeter density of binary image.static double[]
perimeters(ij.process.ImageProcessor image, int[] labels, ij.measure.Calibration calib, int nDirs)
Measures the perimeter of each region within a label image.Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Method Details
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area
public static final double area(ij.process.ImageProcessor image, ij.measure.Calibration calib)Measures the area of the foreground region within a binary image.- Parameters:
image
- the input binary image containing the region to analyzecalib
- the spatial calibration of the image- Returns:
- the area of each region
- See Also:
perimeter(ImageProcessor, Calibration, int)
,eulerNumber(ImageProcessor, int)
,BinaryImages.countForegroundPixels(ImageProcessor)
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areas
public static final double[] areas(ij.process.ImageProcessor image, int[] labels, ij.measure.Calibration calib)Measures the area of each region within a label image, taking into account image resolution.- Parameters:
image
- the input image containing label of particleslabels
- the array of unique labels in imagecalib
- the spatial calibration of the image- Returns:
- the area of each region
- See Also:
LabelImages.pixelCount(ImageProcessor, int[])
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areaDensity
public static final double areaDensity(ij.process.ImageProcessor image)Computes the area density for the 2D binary microstructure.- Parameters:
image
- the input binary image- Returns:
- the area density of the binary structure
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perimeter
public static final double perimeter(ij.process.ImageProcessor image, ij.measure.Calibration calib, int nDirs)Measures the perimeter of the foreground region within a binary image.- Parameters:
image
- the input image containing the binary region to analyzecalib
- the spatial calibration of the imagenDirs
- the number of directions to consider, either 2 or 4- Returns:
- the perimeter of the binary region within the image
- See Also:
area(ImageProcessor, Calibration)
,eulerNumber(ImageProcessor, int)
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perimeters
public static final double[] perimeters(ij.process.ImageProcessor image, int[] labels, ij.measure.Calibration calib, int nDirs)Measures the perimeter of each region within a label image.- Parameters:
image
- the input image containing the labels of regions to analyzelabels
- the labels of the regions within the imagecalib
- the spatial calibration of the imagenDirs
- the number of directions to consider, either 2 or 4- Returns:
- the perimeter of each region within the image
- See Also:
areas(ImageProcessor, int[], Calibration)
,eulerNumbers(ImageProcessor, int[], int)
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perimeterDensity
public static final double perimeterDensity(ij.process.ImageProcessor image, ij.measure.Calibration calib, int nDirs)Computes perimeter density of binary image.- Parameters:
image
- the input binary imagecalib
- the spatial calibration of the imagenDirs
- the number of directions to consider, either 2 or 4- Returns:
- the perimeter density of the binary image
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eulerNumber
public static final int eulerNumber(ij.process.ImageProcessor image, int conn)Measures the Euler number of the region within the binary image, using the specified connectivity.- Parameters:
image
- the input 2D binary imageconn
- the connectivity to use (either 4 or 8)- Returns:
- the Euler number of the region within the binary image
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eulerNumbers
public static final int[] eulerNumbers(ij.process.ImageProcessor image, int[] labels, int conn)Measures the Euler number of each region given in the "labels" argument, using the specified connectivity.- Parameters:
image
- the input label image (with labels having integer values)labels
- the set of unique labels in imageconn
- the connectivity to use (either 4 or 8)- Returns:
- the Euler number of each region within the image
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eulerNumberDensity
public static final double eulerNumberDensity(ij.process.ImageProcessor image, ij.measure.Calibration calib, int conn)Measures the Euler number density of the foreground region within a binary image, using the specified connectivity.- Parameters:
image
- the input 2D binary imagecalib
- the spatial calibration of the imageconn
- the connectivity to use (either 4 or 8)- Returns:
- the Euler number density within the binary image
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