region_growing_segmentation_nodelet.cpp

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// -*- mode: C++ -*-
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 * Software License Agreement (BSD License)
 *
 *  Copyright (c) 2013, Ryohei Ueda and JSK Lab
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#include "jsk_pcl_ros/region_growing_segmentation.h"
 
#include "jsk_recognition_msgs/ClusterPointIndices.h"
#include <pcl/segmentation/impl/region_growing.hpp>
#include <pluginlib/class_list_macros.h>
 
#include "jsk_recognition_utils/pcl_conversion_util.h"
 
namespace jsk_pcl_ros
{
 
  void RegionGrowingSegmentation::onInit()
  {
    ConnectionBasedNodelet::onInit();
    srv_ = boost::make_shared <dynamic_reconfigure::Server<Config> > (*pnh_);
    dynamic_reconfigure::Server<Config>::CallbackType f =
      boost::bind (&RegionGrowingSegmentation::configCallback, this, _1, _2);
    srv_->setCallback (f);
    pub_ = advertise<jsk_recognition_msgs::ClusterPointIndices>(*pnh_, "output", 1);
    onInitPostProcess();
  }
 
  void RegionGrowingSegmentation::subscribe()
  {
    sub_ = pnh_->subscribe("input", 1, &RegionGrowingSegmentation::segment, this);
  }
 
  void RegionGrowingSegmentation::unsubscribe()
  {
    sub_.shutdown();
  }
 
  void RegionGrowingSegmentation::configCallback(Config &config, uint32_t level)
  {
    boost::mutex::scoped_lock lock(mutex_);
 
    if (number_of_neighbors_ != config.number_of_neighbors) {
      number_of_neighbors_ = config.number_of_neighbors;
    }
    if (min_size_ != config.min_size) {
      min_size_ = config.min_size;
    }
    if (max_size_ != config.max_size) {
      max_size_ = config.max_size;
    }
    if (smoothness_threshold_ != config.smoothness_threshold) {
      smoothness_threshold_ = config.smoothness_threshold;
    }
    if (curvature_threshold_ != config.curvature_threshold) {
      curvature_threshold_ = config.curvature_threshold;
    }
  }
 
  void RegionGrowingSegmentation::segment(const sensor_msgs::PointCloud2::ConstPtr& msg)
  {
    boost::mutex::scoped_lock lock(mutex_);
#if ( PCL_MAJOR_VERSION >= 1 && PCL_MINOR_VERSION >= 12 )
    pcl::search::Search<pcl::PointNormal>::Ptr tree(new pcl::search::KdTree<pcl::PointNormal>());
#else
    pcl::search::Search<pcl::PointNormal>::Ptr tree = boost::shared_ptr<pcl::search::Search<pcl::PointNormal> > (new pcl::search::KdTree<pcl::PointNormal>);
#endif
    pcl::PointCloud<pcl::PointNormal> cloud;
    pcl::fromROSMsg(*msg, cloud);
    
    pcl::RegionGrowing<pcl::PointNormal, pcl::PointNormal> reg;
    reg.setMinClusterSize (min_size_);
    reg.setMaxClusterSize (max_size_);
    reg.setSearchMethod (tree);
    reg.setNumberOfNeighbours (number_of_neighbors_);
    reg.setInputCloud (cloud.makeShared());
    //reg.setIndices (indices);
    reg.setInputNormals (cloud.makeShared());
    reg.setSmoothnessThreshold (smoothness_threshold_);
    reg.setCurvatureThreshold (curvature_threshold_);
 
    std::vector <pcl::PointIndices> clusters;
    reg.extract (clusters);
 
    jsk_recognition_msgs::ClusterPointIndices output;
    output.header = msg->header;
 
    for (size_t i = 0; i < clusters.size(); i++) {
      PCLIndicesMsg indices;
      indices.header = msg->header;
      indices.indices = clusters[i].indices;
      output.cluster_indices.push_back(indices);
    }
    pub_.publish(output);
  }
  
}
 
PLUGINLIB_EXPORT_CLASS (jsk_pcl_ros::RegionGrowingSegmentation,
                        nodelet::Nodelet);