contour_finder.cpp
Go to the documentation of this file.
00001 // -*- mode: c++ -*-
00002 /*********************************************************************
00003  * Software License Agreement (BSD License)
00004  *
00005  *  Copyright (c) 2015, JSK Lab
00006  *  All rights reserved.
00007  *
00008  *  Redistribution and use in source and binary forms, with or without
00009  *  modification, are permitted provided that the following conditions
00010  *  are met:
00011  *
00012  *   * Redistributions of source code must retain the above copyright
00013  *     notice, this list of conditions and the following disclaimer.
00014  *   * Redistributions in binary form must reproduce the above
00015  *     copyright notice, this list of conditions and the following
00016  *     disclaimer in the documentation and/o2r other materials provided
00017  *     with the distribution.
00018  *   * Neither the name of the JSK Lab nor the names of its
00019  *     contributors may be used to endorse or promote products derived
00020  *     from this software without specific prior written permission.
00021  *
00022  *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
00023  *  "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
00024  *  LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
00025  *  FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
00026  *  COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
00027  *  INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
00028  *  BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
00029  *  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
00030  *  CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
00031  *  LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
00032  *  ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
00033  *  POSSIBILITY OF SUCH DAMAGE.
00034  *********************************************************************/
00035 
00036 #include "jsk_perception/contour_finder.h"
00037 #include <cv_bridge/cv_bridge.h>
00038 #include <sensor_msgs/image_encodings.h>
00039 #include <opencv2/opencv.hpp>
00040 
00041 
00042 namespace jsk_perception
00043 {
00044   void ContourFinder::onInit()
00045   {
00046     DiagnosticNodelet::onInit();
00047     pub_debug_image_ = advertise<sensor_msgs::Image>(*pnh_, "debug", 1);
00048     pub_convex_image_ = advertise<sensor_msgs::Image>(*pnh_, "output/convex", 1);
00049   }
00050 
00051   void ContourFinder::subscribe()
00052   {
00053     sub_ = pnh_->subscribe("input", 1, &ContourFinder::segment, this);
00054   }
00055 
00056   void ContourFinder::unsubscribe()
00057   {
00058     sub_.shutdown();
00059   }
00060 
00061   void ContourFinder::segment(
00062     const sensor_msgs::Image::ConstPtr& image_msg)
00063   {
00064     std::vector<std::vector<cv::Point> > contours;
00065     std::vector<std::vector<cv::Point> > convex_contours(1);
00066     std::vector<cv::Vec4i> hierarchy;
00067     cv::RNG rng(12345);
00068     cv::Mat input = cv_bridge::toCvCopy(
00069       image_msg, sensor_msgs::image_encodings::MONO8)->image;
00070     cv::findContours(input, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, cv::Point(0, 0));
00071     cv::Mat drawing = cv::Mat::zeros(input.size(), CV_8UC3);
00072     for( int i = 0; i< contours.size(); i++ )
00073     {
00074       cv::Scalar color = cv::Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
00075       cv::drawContours(drawing, contours, i, color, CV_FILLED, 8, hierarchy, 0, cv::Point());
00076     }
00077     pub_debug_image_.publish(cv_bridge::CvImage(
00078                                image_msg->header,
00079                                sensor_msgs::image_encodings::BGR8,
00080                                drawing).toImageMsg());
00081     // combine all the contours into one contours
00082     std::vector<cv::Point> all_contours;
00083     for (size_t i = 0; i < contours.size(); i++) {
00084       for (size_t j = 0; j < contours[i].size(); j++) {
00085         all_contours.push_back(contours[i][j]);
00086       }
00087     }
00088     // build convex
00089     cv::convexHull(cv::Mat(all_contours), convex_contours[0]);
00090     cv::Mat convex_image = cv::Mat::zeros(input.size(), CV_8UC1);
00091     cv::drawContours(convex_image, convex_contours, 0, cv::Scalar(255), CV_FILLED);
00092     pub_convex_image_.publish(
00093       cv_bridge::CvImage(
00094         image_msg->header,
00095         sensor_msgs::image_encodings::MONO8,
00096         convex_image).toImageMsg());
00097   }
00098 }
00099 
00100 #include <pluginlib/class_list_macros.h>
00101 PLUGINLIB_EXPORT_CLASS (jsk_perception::ContourFinder, nodelet::Nodelet);
00102 


jsk_perception
Author(s): Manabu Saito, Ryohei Ueda
autogenerated on Wed Sep 16 2015 04:36:15