java.lang.Object

ij.process.ImageStatistics

All Implemented Interfaces:: Measurements

Direct Known Subclasses:: ByteStatistics, ColorStatistics, FloatStatistics, ShortStatistics, StackStatistics

public class ImageStatistics extends Object implements Measurements

Statistics, including the histogram, of an image or selection.

Field Summary

Fields

Modifier and Type

Field

Description

double

angle

Angle in degrees of fitted ellipse

double

area

double

areaFraction

double

binSize

protected Calibration

cal

double

dmode

Mode

protected int

height

double

histMax

double

histMin

int[]

histogram

Use the hIstogram() method to get the histogram as a double array.

int[]

histogram16

Bin width 1 histogram of 16-bit images

int

histYMax

double

kurtosis

protected long[]

longHistogram

Long histogram; use getHIstogram() to retrieve.

long

longPixelCount

Long pixel count

double

lowerThreshold

Minimum threshold when "Limit to threshold" enabled

double

major

Length of major axis of fitted ellipse

double

max

int

maxCount

double

mean

double

median

double

min

double

minor

Length of minor axis of fitted ellipse

int

mode

Mode of 256 bin histogram (counts limited to 2^31-1)

int

nBins

protected double

ph

int

pixelCount

Int pixel count (limited to 2^31-1)

protected double

pw

protected int

rh

double

roiHeight

double

roiWidth

double

roiX

double

roiY

protected int

rw

protected int

rx

protected int

ry

double

skewness

boolean

stackStatistics

Used by HistogramWindow

double

stdDev

double

umean

Uncalibrated mean

double

upperThreshold

Maximum threshold when "Limit to threshold" enabled

protected int

width

double

xCenterOfMass

double

xCentroid

int

xstart

Used internally by AnalyzeParticles

double

yCenterOfMass

double

yCentroid

int

ystart

Used internally by AnalyzeParticles

Fields inherited from interface ij.measure.Measurements
ADD_TO_OVERLAY, ALL_STATS, AREA, AREA_FRACTION, CENTER_OF_MASS, CENTROID, CIRCULARITY, ELLIPSE, FERET, INTEGRATED_DENSITY, INVERT_Y, KURTOSIS, LABELS, LIMIT, MAX_STANDARDS, MEAN, MEDIAN, MIN_MAX, MODE, NaN_EMPTY_CELLS, PERIMETER, RECT, SCIENTIFIC_NOTATION, SHAPE_DESCRIPTORS, SKEWNESS, SLICE, STACK_POSITION, STD_DEV
Constructor Summary

Constructors

Constructor

Description

ImageStatistics()
Method Summary

Modifier and Type

Method

Description

void

drawEllipse(ImageProcessor ip)

long[]

getHistogram()

Returns the histogram as an array of longs.

static ImageStatistics

getStatistics(ImageProcessor ip)

Calculates and returns uncalibrated (raw) statistics for the specified image, including histogram, area, mean, min and max, standard deviation and mode.

static ImageStatistics

getStatistics(ImageProcessor ip, int mOptions, Calibration cal)

Calculates and returns statistics for the specified image using the specified measurent options and calibration.

double[]

histogram()

Returns the histogram as an array of doubles.

protected void

saveThreshold(double minThreshold, double maxThreshold, Calibration cal)

String

toString()

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details
- histogram
  
  public int[] histogram
  
  Use the hIstogram() method to get the histogram as a double array.
- pixelCount
  
  public int pixelCount
  
  Int pixel count (limited to 2^31-1)
- longPixelCount
  
  public long longPixelCount
  
  Long pixel count
- dmode
  
  public double dmode
  
  Mode
- mode
  
  public int mode
  
  Mode of 256 bin histogram (counts limited to 2^31-1)
- area
  
  public double area
- min
  
  public double min
- max
  
  public double max
- mean
  
  public double mean
- median
  
  public double median
- stdDev
  
  public double stdDev
- skewness
  
  public double skewness
- kurtosis
  
  public double kurtosis
- xCentroid
  
  public double xCentroid
- yCentroid
  
  public double yCentroid
- xCenterOfMass
  
  public double xCenterOfMass
- yCenterOfMass
  
  public double yCenterOfMass
- roiX
  
  public double roiX
- roiY
  
  public double roiY
- roiWidth
  
  public double roiWidth
- roiHeight
  
  public double roiHeight
- umean
  
  public double umean
  
  Uncalibrated mean
- major
  
  public double major
  
  Length of major axis of fitted ellipse
- minor
  
  public double minor
  
  Length of minor axis of fitted ellipse
- angle
  
  public double angle
  
  Angle in degrees of fitted ellipse
- histogram16
  
  public int[] histogram16
  
  Bin width 1 histogram of 16-bit images
- longHistogram
  
  protected long[] longHistogram
  
  Long histogram; use getHIstogram() to retrieve.
- areaFraction
  
  public double areaFraction
- xstart
  
  public int xstart
  
  Used internally by AnalyzeParticles
- ystart
  
  public int ystart
  
  Used internally by AnalyzeParticles
- stackStatistics
  
  public boolean stackStatistics
  
  Used by HistogramWindow
- lowerThreshold
  
  public double lowerThreshold
  
  Minimum threshold when "Limit to threshold" enabled
- upperThreshold
  
  public double upperThreshold
  
  Maximum threshold when "Limit to threshold" enabled
- histMin
  
  public double histMin
- histMax
  
  public double histMax
- histYMax
  
  public int histYMax
- maxCount
  
  public int maxCount
- nBins
  
  public int nBins
- binSize
  
  public double binSize
- width
  
  protected int width
- height
  
  protected int height
- rx
  
  protected int rx
- ry
  
  protected int ry
- rw
  
  protected int rw
- rh
  
  protected int rh
- pw
  
  protected double pw
- ph
  
  protected double ph
- cal
  
  protected Calibration cal
Constructor Details
- ImageStatistics
  
  public ImageStatistics()
Method Details
- getStatistics
  
  public static ImageStatistics getStatistics(ImageProcessor ip)
  
  Calculates and returns uncalibrated (raw) statistics for the specified image, including histogram, area, mean, min and max, standard deviation and mode. Use ImageProcessor.setRoi(x,y,width,height) to limit statistics to a rectangular area and ImageProcessor.setRoi(Roi) to limit to a non-rectangular area.
  See Also:
  
  ImageProcessor.setRoi(int,int,int,int)
  
  ImageProcessor.setRoi(Roi)
  
  ImageProcessor.getStats()
- getStatistics
  
  public static ImageStatistics getStatistics(ImageProcessor ip, int mOptions, Calibration cal)
  
  Calculates and returns statistics for the specified image using the specified measurent options and calibration. Use ImageProcessor.setRoi(x,y,width,height) to limit statistics to a rectangular area and ImageProcessor.setRoi(Roi) to limit to a non-rectangular area.
  See Also:
  
  ImageProcessor.setRoi(int,int,int,int)
  
  ImageProcessor.setRoi(Roi)
  
  Measurements
- drawEllipse
  
  public void drawEllipse(ImageProcessor ip)
- histogram
  
  public double[] histogram()
  
  Returns the histogram as an array of doubles.
- getHistogram
  
  public long[] getHistogram()
  
  Returns the histogram as an array of longs.
- toString
  
  public String toString()
  
  Overrides:
  
  toString in class Object
- saveThreshold
  
  protected void saveThreshold(double minThreshold, double maxThreshold, Calibration cal)

Class ImageStatistics

Field Summary

Fields inherited from interface ij.measure.Measurements

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Details

histogram

pixelCount

longPixelCount

dmode

mode

area

min

max

mean

median

stdDev

skewness

kurtosis

xCentroid

yCentroid

xCenterOfMass

yCenterOfMass

roiX

roiY

roiWidth

roiHeight

umean

major

minor

angle

histogram16

longHistogram

areaFraction

xstart

ystart

stackStatistics

lowerThreshold

upperThreshold

histMin

histMax

histYMax

maxCount

nBins

binSize

width

height

rx

ry

rw

rh

pw

ph

cal

Constructor Details

ImageStatistics

Method Details

getStatistics

getStatistics

drawEllipse

histogram

getHistogram

toString

saveThreshold