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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkThresholdMaximumConnectedComponentsImageFilter.h,v $
Language: C++
Date: $Date: 2007-04-27 19:05:39 $
Version: $Revision: 1.4 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkThresholdMaximumConnectedComponentsImageFilter_h
#define __itkThresholdMaximumConnectedComponentsImageFilter_h
#include "itkInPlaceImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkConnectedComponentImageFilter.h"
#include "itkRelabelComponentImageFilter.h"
#include "itkMinimumMaximumImageCalculator.h"
#include "itkCastImageFilter.h"
#include "itkConceptChecking.h"
namespace itk
{
/**\class ThresholdMaximumConnectedComponentsImageFilter
* \brief Finds the threshold value of an image based on maximizing the number
* of objects in the image that are larger than a given minimal size.
*
* \par
* This method is based on Topological Stable State Thresholding to
* calculate the threshold set point. This method is particularly
* effective when there are a large number of objects in a microscopy
* image. Uncomment the output statements in the GenerateData section
* to see how the filter focuses in on a threshold value.
* Please see the Insight Journal's MICCAI 2005 workshop for a complete
* description. References are below.
*
* \par Parameters
* The MinimumPixelArea parameter is controlled through the class
* Get/SetMinimumPixelArea() method. Similar to the standard
* itk::BinaryThresholdImageFilter the Get/SetInside and Get/SetOutside values
* of the threshold can be set. The GetNumberOfObjects() and
* GetThresholdValue() methods return the number of objects above the
* minimum pixel size and the calculated threshold value.
*
* \par Automatic Thresholding in ITK
* There are multiple methods to automatically calculate the threshold
* intensity value of an image. As of version 2.6, ITK implements two of these.
* Otsu thresholding (see itk::OtsuThresholdImageFilter) is a common method for
* segmenting CT radiographs. Topological Stable State Thresholding works well
* on images with a large number of objects to be counted.
*
* \par References:
* 1) Urish KL, August J, Huard J. "Unsupervised segmentation for myofiber
* counting in immunoflourescent images". Insight Journal.
* ISC/NA-MIC/MICCAI Workshop on Open-Source Software (2005)
* Dspace handle: http://hdl.handle.net/1926/48
* 2) Pikaz A, Averbuch, A. "Digital image thresholding based on topological
* stable-state". Pattern Recognition, 29(5): 829-843, 1996.
*
* \par
* Questions: email Ken Urish at ken.urish(at)gmail.com
* Please cc the itk list serve for archival purposes.
*
*/
template <class TInputImage, class TOutputImage = TInputImage>
class ITK_EXPORT ThresholdMaximumConnectedComponentsImageFilter :
public ImageToImageFilter< TInputImage , TOutputImage >
{
public:
/** Standard class typedefs. */
typedef ThresholdMaximumConnectedComponentsImageFilter Self;
typedef ImageToImageFilter<TInputImage,TOutputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro( ThresholdMaximumConnectedComponentsImageFilter,
ImageToImageFilter );
/** Typedef to describe the type of pixel. */
typedef typename TInputImage::PixelType PixelType;
/** The pixel type must support comparison operators. */
itkConceptMacro(PixelTypeComparable, (Concept::Comparable<PixelType>));
/**
* Set the minimum pixel area used to count objects on the
* image. Thus, only objects that have a pixel area greater than the
* minimum pixel area will be counted as an object in the
* optimization portion of this filter. Essentially, it eliminates
* noise from being counted as an object. The default value is
* zero. */
itkSetMacro( MinimumObjectSizeInPixels, unsigned int );
itkGetMacro( MinimumObjectSizeInPixels, unsigned int );
/**
* The following Set/Get methods are for the binary threshold
* function. This class automatically calculates the lower threshold
* boundary. The upper threshold boundary, inside value, and outside
* value can be defined by the user, however the standard values
* are used as default if not set by the user.
* The default value of the: Inside value is the maximum pixel type
* intensity.
* Outside value is the minimum pixel
* type intensity.
* Upper threshold boundary is the
* maximum pixel type intensity.
*/
itkSetMacro( InsideValue, PixelType );
itkSetMacro( OutsideValue, PixelType );
itkSetMacro( UpperBoundary, PixelType );
itkGetMacro( InsideValue, PixelType );
itkGetMacro( OutsideValue, PixelType );
itkGetMacro( UpperBoundary, PixelType );
/**
* Returns the number of objects in the image. This information is
* only valid after the filter has executed. Useful if your counting
* something */
itkGetMacro( NumberOfObjects, unsigned long );
/**
* Returns the automatic threshold setpoint. This information is
* only valid after the filter has executed. */
itkGetMacro( ThresholdValue, PixelType );
/** Some additional typedefs. */
typedef TInputImage InputImageType;
typedef typename InputImageType::ConstPointer InputImagePointer;
typedef typename InputImageType::RegionType InputImageRegionType;
typedef typename InputImageType::PixelType InputImagePixelType;
/** Some additional typedefs. */
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::Pointer OutputImagePointer;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
protected:
ThresholdMaximumConnectedComponentsImageFilter();
~ThresholdMaximumConnectedComponentsImageFilter() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/**
*ImageToImageFilter::GenerateData() */
void GenerateData(void);
/**
* Runs a series of filters that thresholds the image,
* dilates/erodes for edge enhancement, and counts the number of
* relabeled connected components */
unsigned long int ComputeConnectedComponents(void);
private:
/** Typedef for filter pixel type. */
typedef unsigned int FilterPixelType;
itkStaticConstMacro( ImageDimension,
unsigned int,
TInputImage::ImageDimension );
typedef itk::Image< FilterPixelType, itkGetStaticConstMacro(ImageDimension) >
FilterImageType;
typedef typename FilterImageType::Pointer FilterImagePointer;
//purposely not implemented
ThresholdMaximumConnectedComponentsImageFilter(const Self&);
void operator=(const Self&); //purposely not implemented
//
// Binary Threshold Filter
//
typedef BinaryThresholdImageFilter< InputImageType, OutputImageType >
ThresholdFilterType;
//
// Connected Components Filter
//
typedef ConnectedComponentImageFilter< OutputImageType, FilterImageType >
ConnectedFilterType;
//
// Relabeled Components Filter
//
typedef RelabelComponentImageFilter< FilterImageType, FilterImageType >
RelabelFilterType;
//
// Minimum maximum calculator
//
typedef MinimumMaximumImageCalculator< InputImageType > MinMaxCalculatorType;
//
// Declare member variables for the filters of the internal pipeline.
//
typename ThresholdFilterType::Pointer m_ThresholdFilter;
typename ConnectedFilterType::Pointer m_ConnectedComponent;
typename RelabelFilterType::Pointer m_LabeledComponent;
typename MinMaxCalculatorType::Pointer m_MinMaxCalculator;
// Variables defined by the user
unsigned int m_MinimumObjectSizeInPixels;
// Binary threshold variables
PixelType m_OutsideValue;
PixelType m_InsideValue;
PixelType m_LowerBoundary;
PixelType m_UpperBoundary;
// Filter variables
PixelType m_ThresholdValue;
unsigned long m_NumberOfObjects;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkThresholdMaximumConnectedComponentsImageFilter.txx"
#endif
#endif
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