colorize_float_image.cpp

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// -*- mode: c++ -*-
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#include "jsk_perception/colorize_float_image.h"
#include <boost/assign.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <jsk_topic_tools/log_utils.h>
#include <sensor_msgs/image_encodings.h>

namespace jsk_perception
{
  void ColorizeFloatImage::onInit()
  {
    DiagnosticNodelet::onInit();
    pub_ = advertise<sensor_msgs::Image>(*pnh_, "output", 1);
    pnh_->param("channel", channel_, 0);
    onInitPostProcess();
  }

  void ColorizeFloatImage::subscribe()
  {
    sub_ = pnh_->subscribe("input", 1, &ColorizeFloatImage::colorize, this);
    ros::V_string names = boost::assign::list_of("~input");
    jsk_topic_tools::warnNoRemap(names);
  }

  void ColorizeFloatImage::unsubscribe()
  {
    sub_.shutdown();
  }

  void ColorizeFloatImage::colorize(const sensor_msgs::Image::ConstPtr& msg)
  {
    int numchannels = sensor_msgs::image_encodings::numChannels(msg->encoding);
    if (numchannels < channel_) {
      ROS_ERROR("Image Channel(%s) %d is less than parameter channel (%d)",
                msg->encoding.c_str(),
                sensor_msgs::image_encodings::numChannels(msg->encoding),
                channel_);
    }
    cv::Mat float_image = cv_bridge::toCvShare(msg)->image;
    cv::Mat color_image = cv::Mat(float_image.rows, float_image.cols, CV_8UC3);

    if (channel_ != 0 || numchannels > 1) {
      std::vector<cv::Mat> planes;
      cv::split(float_image, planes);
      float_image = planes[channel_];
    }

    double min_value;
    double max_value;
    cv::minMaxLoc(float_image, &min_value, &max_value);

    for (size_t j = 0; j < float_image.rows; j++) {
      for (size_t i = 0; i < float_image.cols; i++) {
        float v = float_image.at<float>(j, i);
        if (std::isnan(v)) {
          color_image.at<cv::Vec3b>(j, i) = cv::Vec3b(0, 0, 0);
        }
        else {
          std_msgs::ColorRGBA c = jsk_topic_tools::heatColor((v - min_value) / (max_value - min_value));
          color_image.at<cv::Vec3b>(j, i) = cv::Vec3b(c.r * 255, c.g * 255, c.b * 255);
        }
      }
    }
    pub_.publish(cv_bridge::CvImage(msg->header,
                                    sensor_msgs::image_encodings::RGB8,
                                    color_image).toImageMsg());
  }

}

#include <pluginlib/class_list_macros.h>
PLUGINLIB_EXPORT_CLASS (jsk_perception::ColorizeFloatImage, nodelet::Nodelet);