jfits
Class FitsHistogram

java.lang.Object
  vec_math.DoubleHistogram
      jview.CountHistogram
          jfits.FitsHistogram

All Implemented Interfaces:

JHistogram, Histogram

public class FitsHistogram
extends CountHistogram

This class is based on the IVOA Fits package.

   Current Version
   ===============
   ID:            $Id: Histogram.java,v 1.12 2004/07/23 21:54:11 carliles Exp $
   Revision:      $Revision: 1.12 $
   Date/time:     $Date: 2004/07/23 21:54:11 $
   

Nested Class Summary

Nested classes/interfaces inherited from class jview.CountHistogram

CountHistogram.CountBounds

Nested classes/interfaces inherited from interface jview.JHistogram

JHistogram.Bounds

Field Summary

protected double[]	_cdf
protected double	_range

Fields inherited from class vec_math.DoubleHistogram

DEFBINWIDTH

Constructor Summary

FitsHistogram(double min, double max, int totalCount, int[] counts)
We do not need average and median, thus ignore them.

FitsHistogram(nom.tam.fits.ImageHDU hdu)

Method Summary

protected static double[]	calculateCdf(int[] counts, int totalCount)
double	estimateSigma()
double	getEqualized(double val) A histogram equalized value for val.
double	getEqualizedIndex(int val) A histogram equalized value for val.
double	getRange()
static String	revision()
protected void	setRange(double range)
String	toString()

Methods inherited from class jview.CountHistogram

createHistogram, createHistogramFromBandArray, createHistogramFromByteData, createHistogramFromUShortData, getBounds, getModeBounds, getNonsaturatedBounds, getUpperBounds

Methods inherited from class vec_math.DoubleHistogram

createHistogram, createHistogram, createHistogram, createHistogram, equals, findMedianIndex, findModeIndex, fractionMedianIndex, getAverage, getBinCounts, getBinWidth, getMax, getMedian, getMin, getMode, getTotal, parabolicModeIndex, setAverage, setBinCounts, setMax, setMedian, setMin, setMode, setTotal

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface vec_math.Histogram

getAverage, getBinCounts, getBinWidth, getMax, getMedian, getMin, getMode, getTotal

Field Detail

_range

protected double _range

_cdf

protected double[] _cdf

Constructor Detail

FitsHistogram

public FitsHistogram(nom.tam.fits.ImageHDU hdu)

FitsHistogram

public FitsHistogram(double min,
                     double max,
                     int totalCount,
                     int[] counts)

We do not need average and median, thus ignore them.

Method Detail

toString

public String toString()

Overrides:

toString in class DoubleHistogram

getRange

public double getRange()

getEqualizedIndex

public double getEqualizedIndex(int val)

A histogram equalized value for val. val must be in the range [0, count.length] and is scaled to represent a double in the range from zero to one.

Returns:

A double in the range of 0-1

getEqualized

public double getEqualized(double val)

A histogram equalized value for val. val must be in the range min, max and is scaled to represent a double in the range from zero to one.

Returns:

A double in the range of 0-1

estimateSigma

public double estimateSigma()

Returns:

A reasonable guess at a good sigma value for the inverse hyperbolic sine scaling. The estimate is made by finding the mode value of the histogram, then moving to the next bin and returning the value (in the original data range with bZero and bScale applied) at the "bottom" of that bin. The current implementation is actually a mangled implementation which happens to produce better sigmas than the correct implementation. An explanation for this behavior is currently being investigated.

revision

public static String revision()

Returns:

CVS Revision number.

calculateCdf

protected static double[] calculateCdf(int[] counts,
                                       int totalCount)

setRange

protected void setRange(double range)