Point Cloud Library (PCL)
1.15.1
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pcl
filters
median_filter.h
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/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2012-, Open Perception, Inc.
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* All rights reserved.
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of the copyright holder(s) nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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* $Id$
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*
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*/
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#pragma once
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#include <pcl/filters/filter.h>
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namespace
pcl
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{
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/** \brief Implementation of the median filter.
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* The median filter is one of the simplest and wide-spread image processing filters. It is known to perform well
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* with "shot"/impulse noise (some individual pixels having extreme values), it does not reduce contrast across steps
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* in the function (as compared to filters based on averaging), and it is robust to outliers. Furthermore, it is
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* simple to implement and efficient, as it requires a single pass over the image. It consists of a moving window of
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* fixed size that replaces the pixel in the center with the median inside the window.
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*
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* \note This algorithm filters only the depth (z-component) of _organized_ and untransformed (i.e., in camera coordinates)
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* point clouds. An error will be outputted if an unorganized cloud is given to the class instance.
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*
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* \author Alexandru E. Ichim
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* \ingroup filters
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*/
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template
<
typename
Po
int
T>
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class
MedianFilter
:
public
pcl::Filter
<PointT>
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{
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using
pcl::Filter
<PointT>
::input_
;
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using
PointCloud =
typename
pcl::Filter<PointT>::PointCloud
;
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public
:
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/** \brief Empty constructor. */
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MedianFilter
() =
default
;
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/** \brief Set the window size of the filter.
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* \param[in] window_size the new window size
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*/
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inline
void
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setWindowSize
(
int
window_size)
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{
window_size_
= window_size; }
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/** \brief Get the window size of the filter.
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* \returns the window size of the filter
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*/
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inline
int
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getWindowSize
()
const
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{
return
window_size_
; }
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/** \brief Set the largest value one dexel is allowed to move
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* \param[in] max_allowed_movement maximum value a dexel is allowed to move during filtering
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*/
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inline
void
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setMaxAllowedMovement
(
float
max_allowed_movement)
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{
max_allowed_movement_
= max_allowed_movement; }
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/** \brief Get the maximum distance one point is allowed to move along the z-axis.
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* \returns the maximum distance a dexel is allowed to move
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*/
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inline
float
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getMaxAllowedMovement
()
const
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{
return
max_allowed_movement_
; }
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/** \brief Filter the input data and store the results into output.
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* \param[out] output the result point cloud
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*/
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void
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applyFilter
(
PointCloud
&output)
override
;
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protected
:
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int
window_size_
{5};
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float
max_allowed_movement_
{std::numeric_limits<float>::max ()};
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};
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}
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#ifdef PCL_NO_PRECOMPILE
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#include <pcl/filters/impl/median_filter.hpp>
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#else
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#define PCL_INSTANTIATE_MedianFilter(T) template class PCL_EXPORTS pcl::MedianFilter<T>;
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#endif
pcl::Filter
Filter represents the base filter class.
Definition
filter.h:81
pcl::Filter::PointCloud
pcl::PointCloud< PointT > PointCloud
Definition
filter.h:87
pcl::MedianFilter::max_allowed_movement_
float max_allowed_movement_
Definition
median_filter.h:105
pcl::MedianFilter::getWindowSize
int getWindowSize() const
Get the window size of the filter.
Definition
median_filter.h:80
pcl::MedianFilter::window_size_
int window_size_
Definition
median_filter.h:104
pcl::MedianFilter::setMaxAllowedMovement
void setMaxAllowedMovement(float max_allowed_movement)
Set the largest value one dexel is allowed to move.
Definition
median_filter.h:87
pcl::MedianFilter::applyFilter
void applyFilter(PointCloud &output) override
Filter the input data and store the results into output.
Definition
median_filter.hpp:46
pcl::MedianFilter::getMaxAllowedMovement
float getMaxAllowedMovement() const
Get the maximum distance one point is allowed to move along the z-axis.
Definition
median_filter.h:94
pcl::MedianFilter::MedianFilter
MedianFilter()=default
Empty constructor.
pcl::MedianFilter::setWindowSize
void setWindowSize(int window_size)
Set the window size of the filter.
Definition
median_filter.h:73
pcl::PCLBase::input_
PointCloudConstPtr input_
The input point cloud dataset.
Definition
pcl_base.h:147
pcl::PointCloud
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition
point_cloud.h:174
pcl
Definition
convolution.h:46