Adaptive, local noise reduction filter in the spatial domain. More...
#include <AdaptiveLocalFilter.h>
Inheritance diagram for pcl::AdaptiveLocalFilter:
Public Member Functions | |
| AdaptiveLocalFilter (const AdaptiveLocalFilter &)=default | |
| AdaptiveLocalFilter (double sigma, int size=5, bool useMAD=false) | |
| ~AdaptiveLocalFilter () override | |
| void | SetSigma (double sigma) |
| void | SetSize (int size) |
| double | Sigma () const |
| int | Size () const |
| void | UseMAD (bool useMAD=true) |
| bool | UsingMAD () const |
| Public Member Functions inherited from pcl::ImageTransformation | |
| ImageTransformation ()=default | |
| ImageTransformation (const ImageTransformation &)=default | |
| virtual | ~ImageTransformation () |
| template<class P > | |
| GenericImage< P > & | operator>> (GenericImage< P > &image) const |
| ImageVariant & | operator>> (ImageVariant &image) const |
| Public Member Functions inherited from pcl::ParallelProcess | |
| ParallelProcess ()=default | |
| ParallelProcess (const ParallelProcess &)=default | |
| virtual | ~ParallelProcess () |
| void | DisableParallelProcessing (bool disable=true) noexcept |
| void | EnableParallelProcessing (bool enable=true, int maxProcessors=0) noexcept |
| bool | IsParallelProcessingEnabled () const noexcept |
| int | MaxProcessors () const noexcept |
| ParallelProcess & | operator= (const ParallelProcess &)=default |
| void | SetMaxProcessors (int maxProcessors) noexcept |
| void | Swap (ParallelProcess &process) noexcept |
Protected Member Functions | |
| void | Apply (pcl::DImage &) const override |
| void | Apply (pcl::Image &) const override |
| void | Apply (pcl::UInt16Image &) const override |
| void | Apply (pcl::UInt32Image &) const override |
| void | Apply (pcl::UInt8Image &) const override |
| Protected Member Functions inherited from pcl::ImageTransformation | |
| virtual void | Apply (pcl::ComplexImage &image) const |
| virtual void | Apply (pcl::DComplexImage &image) const |
Detailed Description
Implementation of the adaptive, local noise reduction filter in the spatial domain as described by González and Woods.
References
R.C. González and R.E. Woods, Digital Image Processing, Third Edition, Pearson / Prentice Hall, 2008. pp 330-332.
Definition at line 80 of file AdaptiveLocalFilter.h.
Constructor & Destructor Documentation
◆ AdaptiveLocalFilter() [1/2]
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inline |
Constructs an AdaptiveLocalFilter instance.
- Parameters
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sigma Standard deviation or median absolute deviation from the median (MAD) of the noise (see the useMAD parameter). If the MAD is used, the specified sigma value must be consistent with the standard deviation of a normal distribution (typically, the computed MAD estimate must be multiplied by 1.4826). size Filter size in pixels. This is the length of a side of the square pixel neighborhood used by the adaptive filter. The filter size must be an odd number greater than or equal to three. If an even size is specified, the smallest odd size greater than the specified value will be used. The default size is five pixels. useMAD If true, use the median absolute deviation from the median (MAD) instead of variance / standard deviation for noise estimates. Note that this changes the meaning of the sigma parameter. The default value is false (variance is used by default).
Definition at line 108 of file AdaptiveLocalFilter.h.
◆ AdaptiveLocalFilter() [2/2]
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default |
Copy constructor.
◆ ~AdaptiveLocalFilter()
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inlineoverride |
Destroys this AdaptiveLocalFilter object.
Definition at line 123 of file AdaptiveLocalFilter.h.
Member Function Documentation
◆ Apply() [1/5]
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overrideprotectedvirtual |
Applies this transformation to a 64-bit floating point image.
Reimplemented from pcl::ImageTransformation.
◆ Apply() [2/5]
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overrideprotectedvirtual |
Applies this transformation to a 32-bit floating point image.
Reimplemented from pcl::ImageTransformation.
◆ Apply() [3/5]
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overrideprotectedvirtual |
Applies this transformation to a 16-bit unsigned integer image.
Reimplemented from pcl::ImageTransformation.
◆ Apply() [4/5]
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overrideprotectedvirtual |
Applies this transformation to a 32-bit unsigned integer image.
Reimplemented from pcl::ImageTransformation.
◆ Apply() [5/5]
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overrideprotectedvirtual |
Applies this transformation to an 8-bit unsigned integer image.
Reimplemented from pcl::ImageTransformation.
◆ SetSigma()
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inline |
Sets the standard deviation or median absolute deviation from the median (MAD) of the noise in this adaptive filter. The specified sigma must be a positive, nonzero value (a zero noise value is legal, but the filter will obviously have no effect).
The meaning of the specified sigma value depends on whether this filter uses variance or MAD for noise estimates–see the UsingMAD() member function and the class constructor for more information.
Definition at line 168 of file AdaptiveLocalFilter.h.
References pcl::Max().
◆ SetSize()
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inline |
Sets the filter size in pixels.
Definition at line 138 of file AdaptiveLocalFilter.h.
References pcl::Max().
◆ Sigma()
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inline |
Returns the standard deviation or median absolute deviation from the median (MAD) of the noise in this adaptive filter.
The meaning of the returned value depends on whether this filter uses variance or MAD for noise estimates –see the UsingMAD() member function and the class constructor for more information.
Definition at line 153 of file AdaptiveLocalFilter.h.
◆ Size()
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inline |
Returns the filter size in pixels.
Definition at line 130 of file AdaptiveLocalFilter.h.
◆ UseMAD()
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inline |
Sets the way this adaptive filter interprets noise estimates: either as the median absolute deviation from the median (MAD) or as the standard deviation of the noise in the target image.
Definition at line 188 of file AdaptiveLocalFilter.h.
◆ UsingMAD()
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inline |
Returns true iff this adaptive filter uses median absolute deviation (MAD) instead of variance / standard deviation to interpret noise estimates.
Definition at line 178 of file AdaptiveLocalFilter.h.
The documentation for this class was generated from the following file:
