ros(c++)之cv_bridge库简单使用

结果

一个彩色视图窗口和一个灰色视图窗口

内部逻辑

订阅rgb/image_raw话题，利用cv_bridge将收到的sensor_msgs/image类型消息转为cv_bridge::CvImagePtr类型数据，其内部属性即有Mat格式图片数据，调用cvtColor函数将彩色Mat转为灰色Mat，最终展示两个窗口

源码

cpp

#include "ros/ros.h"
#include "image_transport/image_transport.h"
#include "opencv2/highgui/highgui.hpp"
#include "cv_bridge/cv_bridge.h"
#include "sensor_msgs/image_encodings.h"

void showColorGrayView(const sensor_msgs::ImageConstPtr msgImg)
{
  cv_bridge::CvImagePtr cvImgPtr;
  try{
    cvImgPtr=cv_bridge::toCvCopy(msgImg,sensor_msgs::image_encodings::BGR8);
  }
  catch(cv_bridge::Exception e){
    ROS_ERROR_STREAM("Cv_bridge Exception:"<image;
  cv::Mat cvGrayImgMat;
  cv::cvtColor(cvColorImgMat,cvGrayImgMat,CV_BGR2GRAY);
  cv::imshow("colorview",cvColorImgMat);
  cv::imshow("grayview",cvGrayImgMat);
  cv::waitKey(5);
}
int main(int argc, char **argv)
{
  ros::init(argc, argv, "grayview");
  ros::NodeHandle nh;
  image_transport::ImageTransport it(nh);
  cv::namedWindow("colorview",cv::WINDOW_NORMAL);
  cv::moveWindow("colorview",100,100);
  cv::namedWindow("grayview",cv::WINDOW_NORMAL);
  cv::moveWindow("grayview",600,100);
  image_transport::Subscriber sub = it.subscribe("/rgb/image_raw", 1, showColorGrayView);
  ros::spin();

  return 0;
}

package.xml

  graycamera
  0.1.0
  The graycamera package
  fivejohn
  Apache 2.0
  fivejohn
  catkin
  roscpp
  roscpp
  roscpp

CMakeList.txt

cmake_minimum_required(VERSION 2.8.3)
project(graycamera)
find_package(catkin REQUIRED COMPONENTS
  roscpp
  image_transport
  cv_bridge
  sensor_msgs
)
catkin_package()
include_directories(
  ${catkin_INCLUDE_DIRS}
)
find_package(OpenCV)
include_directories(
  ${OpenCV_INCLUDE_DIRS}
)
add_executable(grayview src/grayview.cpp)
target_link_libraries(grayview
  ${catkin_LIBRARIES}
  ${OpenCV_LIBRARIES}
)