Point Cloud Library (PCL)  1.14.0-dev
morphological_filter.hpp
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41 
42 #ifndef PCL_FILTERS_IMPL_MORPHOLOGICAL_FILTER_H_
43 #define PCL_FILTERS_IMPL_MORPHOLOGICAL_FILTER_H_
44 
45 #include <limits>
46 
47 #include <Eigen/Core>
48 
49 #include <pcl/common/common.h>
50 #include <pcl/common/io.h>
51 #include <pcl/filters/morphological_filter.h>
52 #include <pcl/octree/octree_search.h>
53 
54 namespace pcl
55 {
56 template <typename PointT> void
58  float resolution, const int morphological_operator,
59  pcl::PointCloud<PointT> &cloud_out)
60 {
61  if (cloud_in->empty ())
62  return;
63 
64  pcl::copyPointCloud (*cloud_in, cloud_out);
65 
67 
68  tree.setInputCloud (cloud_in);
70 
71  float half_res = resolution / 2.0f;
72 
73  switch (morphological_operator)
74  {
75  case MORPH_DILATE:
76  case MORPH_ERODE:
77  {
78  for (std::size_t p_idx = 0; p_idx < cloud_in->size (); ++p_idx)
79  {
80  Eigen::Vector3f bbox_min, bbox_max;
81  Indices pt_indices;
82  float minx = (*cloud_in)[p_idx].x - half_res;
83  float miny = (*cloud_in)[p_idx].y - half_res;
84  float minz = -std::numeric_limits<float>::max ();
85  float maxx = (*cloud_in)[p_idx].x + half_res;
86  float maxy = (*cloud_in)[p_idx].y + half_res;
87  float maxz = std::numeric_limits<float>::max ();
88  bbox_min = Eigen::Vector3f (minx, miny, minz);
89  bbox_max = Eigen::Vector3f (maxx, maxy, maxz);
90  tree.boxSearch (bbox_min, bbox_max, pt_indices);
91 
92  if (!pt_indices.empty ())
93  {
94  Eigen::Vector4f min_pt, max_pt;
95  pcl::getMinMax3D<PointT> (*cloud_in, pt_indices, min_pt, max_pt);
96 
97  switch (morphological_operator)
98  {
99  case MORPH_DILATE:
100  {
101  cloud_out[p_idx].z = max_pt.z ();
102  break;
103  }
104  case MORPH_ERODE:
105  {
106  cloud_out[p_idx].z = min_pt.z ();
107  break;
108  }
109  }
110  }
111  }
112  break;
113  }
114  case MORPH_OPEN:
115  case MORPH_CLOSE:
116  {
117  pcl::PointCloud<PointT> cloud_temp;
118 
119  pcl::copyPointCloud (*cloud_in, cloud_temp);
120 
121  for (std::size_t p_idx = 0; p_idx < cloud_temp.size (); ++p_idx)
122  {
123  Eigen::Vector3f bbox_min, bbox_max;
124  Indices pt_indices;
125  float minx = cloud_temp[p_idx].x - half_res;
126  float miny = cloud_temp[p_idx].y - half_res;
127  float minz = -std::numeric_limits<float>::max ();
128  float maxx = cloud_temp[p_idx].x + half_res;
129  float maxy = cloud_temp[p_idx].y + half_res;
130  float maxz = std::numeric_limits<float>::max ();
131  bbox_min = Eigen::Vector3f (minx, miny, minz);
132  bbox_max = Eigen::Vector3f (maxx, maxy, maxz);
133  tree.boxSearch (bbox_min, bbox_max, pt_indices);
134 
135  if (!pt_indices.empty ())
136  {
137  Eigen::Vector4f min_pt, max_pt;
138  pcl::getMinMax3D<PointT> (cloud_temp, pt_indices, min_pt, max_pt);
139 
140  switch (morphological_operator)
141  {
142  case MORPH_OPEN:
143  {
144  cloud_out[p_idx].z = min_pt.z ();
145  break;
146  }
147  case MORPH_CLOSE:
148  {
149  cloud_out[p_idx].z = max_pt.z ();
150  break;
151  }
152  }
153  }
154  }
155 
156  cloud_temp.swap (cloud_out);
157 
158  for (std::size_t p_idx = 0; p_idx < cloud_temp.size (); ++p_idx)
159  {
160  Eigen::Vector3f bbox_min, bbox_max;
161  Indices pt_indices;
162  float minx = cloud_temp[p_idx].x - half_res;
163  float miny = cloud_temp[p_idx].y - half_res;
164  float minz = -std::numeric_limits<float>::max ();
165  float maxx = cloud_temp[p_idx].x + half_res;
166  float maxy = cloud_temp[p_idx].y + half_res;
167  float maxz = std::numeric_limits<float>::max ();
168  bbox_min = Eigen::Vector3f (minx, miny, minz);
169  bbox_max = Eigen::Vector3f (maxx, maxy, maxz);
170  tree.boxSearch (bbox_min, bbox_max, pt_indices);
171 
172  if (!pt_indices.empty ())
173  {
174  Eigen::Vector4f min_pt, max_pt;
175  pcl::getMinMax3D<PointT> (cloud_temp, pt_indices, min_pt, max_pt);
176 
177  switch (morphological_operator)
178  {
179  case MORPH_OPEN:
180  default:
181  {
182  cloud_out[p_idx].z = max_pt.z ();
183  break;
184  }
185  case MORPH_CLOSE:
186  {
187  cloud_out[p_idx].z = min_pt.z ();
188  break;
189  }
190  }
191  }
192  }
193  break;
194  }
195  default:
196  {
197  PCL_ERROR ("Morphological operator is not supported!\n");
198  break;
199  }
200  }
201 
202  return;
203 }
204 
205 } // namespace pcl
206 
207 #define PCL_INSTANTIATE_applyMorphologicalOperator(T) template PCL_EXPORTS void pcl::applyMorphologicalOperator<T> (const pcl::PointCloud<T>::ConstPtr &, float, const int, pcl::PointCloud<T> &);
208 
209 #endif //#ifndef PCL_FILTERS_IMPL_MORPHOLOGICAL_FILTER_H_
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition: point_cloud.h:173
bool empty() const
Definition: point_cloud.h:446
std::size_t size() const
Definition: point_cloud.h:443
void swap(PointCloud< PointT > &rhs)
Swap a point cloud with another cloud.
Definition: point_cloud.h:872
shared_ptr< const PointCloud< PointT > > ConstPtr
Definition: point_cloud.h:414
void setInputCloud(const PointCloudConstPtr &cloud_arg, const IndicesConstPtr &indices_arg=IndicesConstPtr())
Provide a pointer to the input data set.
void addPointsFromInputCloud()
Add points from input point cloud to octree.
Octree pointcloud search class
Definition: octree_search.h:58
uindex_t boxSearch(const Eigen::Vector3f &min_pt, const Eigen::Vector3f &max_pt, Indices &k_indices) const
Search for points within rectangular search area Points exactly on the edges of the search rectangle ...
Define standard C methods and C++ classes that are common to all methods.
void copyPointCloud(const pcl::PointCloud< PointInT > &cloud_in, pcl::PointCloud< PointOutT > &cloud_out)
Copy all the fields from a given point cloud into a new point cloud.
Definition: io.hpp:142
void applyMorphologicalOperator(const typename pcl::PointCloud< PointT >::ConstPtr &cloud_in, float resolution, const int morphological_operator, pcl::PointCloud< PointT > &cloud_out)
Apply morphological operator to the z dimension of the input point cloud.
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition: types.h:133