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tenmon/3rdparty/include/pcl/ThresholdedTransformation.h
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2022-04-12 08:17:18 +02:00

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// ____ ______ __
// / __ \ / ____// /
// / /_/ // / / /
// / ____// /___ / /___ PixInsight Class Library
// /_/ \____//_____/ PCL 2.4.23
// ----------------------------------------------------------------------------
// pcl/ThresholdedTransformation.h - Released 2022-03-12T18:59:29Z
// ----------------------------------------------------------------------------
// This file is part of the PixInsight Class Library (PCL).
// PCL is a multiplatform C++ framework for development of PixInsight modules.
//
// Copyright (c) 2003-2022 Pleiades Astrophoto S.L. All Rights Reserved.
//
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// modification, is permitted provided that the following conditions are met:
//
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// notice, this list of conditions and the following disclaimer.
//
// 2. All redistributions in binary form must reproduce the above copyright
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// documentation and/or other materials provided with the distribution.
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// of their contributors, may be used to endorse or promote products derived
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//
// "This product is based on software from the PixInsight project, developed
// by Pleiades Astrophoto and its contributors (https://pixinsight.com/)."
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// ----------------------------------------------------------------------------
#ifndef __PCL_ThresholdedTransformation_h
#define __PCL_ThresholdedTransformation_h
/// \file pcl/ThresholdedTransformation.h
#include <pcl/Defs.h>
#include <pcl/ImageTransformation.h>
namespace pcl
{
// ----------------------------------------------------------------------------
/*!
* \class ThresholdedTransformation
* \brief Thresholded image transformation.
*
* %ThresholdedTransformation represents a <em>thresholded image
* transformation</em> in PCL. A thresholded transformation modifies its effect
* when applied to pixels within a given range of pixel sample values.
*
* Instead of defining a fixed range of sample values, a thresholded
* transformation defines two \e threshold values in PCL. These thresholds are
* normalized \e distances measured from a \e floating reference value that can
* be specified on a per-pixel basis.
*
* In PCL, convolutions in the spatial domain and morphological transformations
* have been implemented as thresholded transformations.
*/
class PCL_CLASS ThresholdedTransformation : public virtual ImageTransformation
{
public:
/*!
* Constructs a %ThresholdedTransformation object with the specified \a low
* and \a high threshold values in the normalized real range [0,1].
*/
ThresholdedTransformation( double low = 0, double high = 0 )
: m_lowThreshold( low )
, m_highThreshold( high )
{
}
/*!
* Copy constructor.
*/
ThresholdedTransformation( const ThresholdedTransformation& ) = default;
/*!
* Destroys a %ThresholdedTransformation object.
*/
virtual ~ThresholdedTransformation()
{
}
/*!
* Returns true iff this transformation is currently thresholded.
*
* The transformation is thresholded when either threshold (low or high) is
* nonzero. When both thresholds are zero, the transformation applies no
* thresholding at all.
*/
bool IsThresholded() const
{
return 1 + m_lowThreshold != 1 || 1 + m_highThreshold != 1;
}
/*!
* Returns the current low threshold in the normalized real range.
*/
double LowThreshold() const
{
return m_lowThreshold;
}
/*!
* Sets the low threshold to the specified sample value \a t in the
* normalized real range.
*/
void SetLowThreshold( double t )
{
m_lowThreshold = t;
}
/*!
* Returns the current high threshold in the normalized real range.
*/
double HighThreshold() const
{
return m_highThreshold;
}
/*!
* Sets the high threshold to the specified sample value \a t in the
* normalized real range.
*/
void SetHighThreshold( double t )
{
m_highThreshold = t;
}
private:
/*
* Normalized threshold values.
*/
double m_lowThreshold = 0;
double m_highThreshold = 0;
};
// ----------------------------------------------------------------------------
} // pcl
#endif // __PCL_ThresholdedTransformation_h
// ----------------------------------------------------------------------------
// EOF pcl/ThresholdedTransformation.h - Released 2022-03-12T18:59:29Z