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Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Protected Attributes
vtkImageHistogramStatistics Class Reference

Compute statistics for an image. More...

#include <vtkImageHistogramStatistics.h>

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List of all members.

Public Types

typedef vtkImageHistogram Superclass

Public Member Functions

virtual int IsA (const char *type)
vtkImageHistogramStatisticsNewInstance () const
void PrintSelf (ostream &os, vtkIndent indent)
double GetMinimum ()
double GetMaximum ()
double GetMean ()
double GetMedian ()
double GetStandardDeviation ()
virtual void SetAutoRangePercentiles (double, double)
void SetAutoRangePercentiles (double[2])
virtual doubleGetAutoRangePercentiles ()
virtual void GetAutoRangePercentiles (double &, double &)
virtual void GetAutoRangePercentiles (double[2])
virtual void SetAutoRangeExpansionFactors (double, double)
void SetAutoRangeExpansionFactors (double[2])
virtual doubleGetAutoRangeExpansionFactors ()
virtual void GetAutoRangeExpansionFactors (double &, double &)
virtual void GetAutoRangeExpansionFactors (double[2])
virtual doubleGetAutoRange ()
virtual void GetAutoRange (double &, double &)
virtual void GetAutoRange (double[2])

Static Public Member Functions

static
vtkImageHistogramStatistics
New ()
static int IsTypeOf (const char *type)
static
vtkImageHistogramStatistics
SafeDownCast (vtkObjectBase *o)

Protected Member Functions

virtual vtkObjectBaseNewInstanceInternal () const
 vtkImageHistogramStatistics ()
 ~vtkImageHistogramStatistics ()
virtual int RequestData (vtkInformation *, vtkInformationVector **, vtkInformationVector *)

Protected Attributes

double Minimum
double Maximum
double Mean
double StandardDeviation
double Median
double AutoRange [2]
double AutoRangePercentiles [2]
double AutoRangeExpansionFactors [2]

Detailed Description

Compute statistics for an image.

vtkImageHistogramStatistics computes statistics such as mean, median, and standard deviation. These statistics are computed from the histogram of the image, rather than from the image itself, because this is more efficient than computing the statistics while traversing the pixels. If the input image is of type float or double, then the precision of the Mean, Median, and StandardDeviation will depend on the number of histogram bins. By default, 65536 bins are used for float data, giving at least 16 bits of precision.

Thanks:
Thanks to David Gobbi at the Seaman Family MR Centre and Dept. of Clinical Neurosciences, Foothills Medical Centre, Calgary, for providing this class.
Tests:
vtkImageHistogramStatistics (Tests)

Definition at line 43 of file vtkImageHistogramStatistics.h.


Member Typedef Documentation

Reimplemented from vtkImageHistogram.

Definition at line 47 of file vtkImageHistogramStatistics.h.


Constructor & Destructor Documentation


Member Function Documentation

Create an object with Debug turned off, modified time initialized to zero, and reference counting on.

Reimplemented from vtkImageHistogram.

static int vtkImageHistogramStatistics::IsTypeOf ( const char *  name) [static]

Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.

Reimplemented from vtkImageHistogram.

virtual int vtkImageHistogramStatistics::IsA ( const char *  name) [virtual]

Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.

Reimplemented from vtkImageHistogram.

Reimplemented from vtkImageHistogram.

virtual vtkObjectBase* vtkImageHistogramStatistics::NewInstanceInternal ( ) const [protected, virtual]

Reimplemented from vtkImageHistogram.

Reimplemented from vtkImageHistogram.

void vtkImageHistogramStatistics::PrintSelf ( ostream &  os,
vtkIndent  indent 
) [virtual]

Methods invoked by print to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from vtkImageHistogram.

Get the minimum value present in the image. This value is computed when Update() is called.

Definition at line 53 of file vtkImageHistogramStatistics.h.

Get the maximum value present in the image. This value is computed when Update() is called.

Definition at line 57 of file vtkImageHistogramStatistics.h.

Get the mean value of the image. This value is computed when Update() is called.

Definition at line 61 of file vtkImageHistogramStatistics.h.

Get the median value. This is computed when Update() is called.

Definition at line 64 of file vtkImageHistogramStatistics.h.

Get the standard deviation of the values in the image. This is computed when Update() is called.

Definition at line 68 of file vtkImageHistogramStatistics.h.

Set the percentiles to use for automatic view range computation. This allows one to compute a range that does not include outliers that are significantly darker or significantly brighter than the rest of the pixels in the image. The default is to use the first percentile and the 99th percentile.

Set the percentiles to use for automatic view range computation. This allows one to compute a range that does not include outliers that are significantly darker or significantly brighter than the rest of the pixels in the image. The default is to use the first percentile and the 99th percentile.

Set the percentiles to use for automatic view range computation. This allows one to compute a range that does not include outliers that are significantly darker or significantly brighter than the rest of the pixels in the image. The default is to use the first percentile and the 99th percentile.

virtual void vtkImageHistogramStatistics::GetAutoRangePercentiles ( double ,
double  
) [virtual]

Set the percentiles to use for automatic view range computation. This allows one to compute a range that does not include outliers that are significantly darker or significantly brighter than the rest of the pixels in the image. The default is to use the first percentile and the 99th percentile.

Set the percentiles to use for automatic view range computation. This allows one to compute a range that does not include outliers that are significantly darker or significantly brighter than the rest of the pixels in the image. The default is to use the first percentile and the 99th percentile.

Set lower and upper expansion factors to apply to the auto range that was computed from the AutoRangePercentiles. Any outliers that are within this expanded range will be included, even if they are beyond the percentile. This allows inclusion of values that are just slightly outside of the percentile, while rejecting values that are far beyond the percentile. The default is to expand the range by a factor of 0.1 at each end. The range will never be expanded beyond the Minimum or Maximum pixel values.

Set lower and upper expansion factors to apply to the auto range that was computed from the AutoRangePercentiles. Any outliers that are within this expanded range will be included, even if they are beyond the percentile. This allows inclusion of values that are just slightly outside of the percentile, while rejecting values that are far beyond the percentile. The default is to expand the range by a factor of 0.1 at each end. The range will never be expanded beyond the Minimum or Maximum pixel values.

Set lower and upper expansion factors to apply to the auto range that was computed from the AutoRangePercentiles. Any outliers that are within this expanded range will be included, even if they are beyond the percentile. This allows inclusion of values that are just slightly outside of the percentile, while rejecting values that are far beyond the percentile. The default is to expand the range by a factor of 0.1 at each end. The range will never be expanded beyond the Minimum or Maximum pixel values.

Set lower and upper expansion factors to apply to the auto range that was computed from the AutoRangePercentiles. Any outliers that are within this expanded range will be included, even if they are beyond the percentile. This allows inclusion of values that are just slightly outside of the percentile, while rejecting values that are far beyond the percentile. The default is to expand the range by a factor of 0.1 at each end. The range will never be expanded beyond the Minimum or Maximum pixel values.

Set lower and upper expansion factors to apply to the auto range that was computed from the AutoRangePercentiles. Any outliers that are within this expanded range will be included, even if they are beyond the percentile. This allows inclusion of values that are just slightly outside of the percentile, while rejecting values that are far beyond the percentile. The default is to expand the range by a factor of 0.1 at each end. The range will never be expanded beyond the Minimum or Maximum pixel values.

Get an automatically computed view range for the image, for use with the lookup table or image property that is used when viewing the image. The use of this range will avoid situations where an image looks too dark because a few pixels happen to be much brighter than the rest.

virtual void vtkImageHistogramStatistics::GetAutoRange ( double ,
double  
) [virtual]

Get an automatically computed view range for the image, for use with the lookup table or image property that is used when viewing the image. The use of this range will avoid situations where an image looks too dark because a few pixels happen to be much brighter than the rest.

virtual void vtkImageHistogramStatistics::GetAutoRange ( double  [2]) [virtual]

Get an automatically computed view range for the image, for use with the lookup table or image property that is used when viewing the image. The use of this range will avoid situations where an image looks too dark because a few pixels happen to be much brighter than the rest.

virtual int vtkImageHistogramStatistics::RequestData ( vtkInformation request,
vtkInformationVector **  inputVector,
vtkInformationVector outputVector 
) [protected, virtual]

This is called by the superclass. This is the method you should override.

Reimplemented from vtkImageHistogram.


Member Data Documentation

Definition at line 110 of file vtkImageHistogramStatistics.h.

Definition at line 111 of file vtkImageHistogramStatistics.h.

Definition at line 112 of file vtkImageHistogramStatistics.h.

Definition at line 113 of file vtkImageHistogramStatistics.h.

Definition at line 114 of file vtkImageHistogramStatistics.h.

Definition at line 116 of file vtkImageHistogramStatistics.h.

Definition at line 117 of file vtkImageHistogramStatistics.h.

Definition at line 118 of file vtkImageHistogramStatistics.h.


The documentation for this class was generated from the following file: