contrast_stretch_nodelet.cpp

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// Copyright (c) 2014, Southwest Research Institute® (SwRI®)
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#include <string>

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

#include <ros/ros.h>
#include <nodelet/nodelet.h>
#include <image_transport/image_transport.h>
#include <sensor_msgs/image_encodings.h>
#include <sensor_msgs/Image.h>
#include <cv_bridge/cv_bridge.h>
#include <swri_image_util/image_normalization.h>

#include <swri_math_util/math_util.h>

namespace swri_image_util
{
  class ContrastStretchNodelet : public nodelet::Nodelet
  {
  public:
    ContrastStretchNodelet() :
      bins_(8),
      max_min_(0.0),
      min_max_(0.0),
      over_exposure_threshold_(255.0),
      over_exposure_dilation_(3)
    {
    }

    ~ContrastStretchNodelet()
    {
    }

    void onInit()
    {
      ros::NodeHandle &node = getNodeHandle();
      ros::NodeHandle &priv = getPrivateNodeHandle();

      priv.param("bins", bins_, bins_);
      priv.param("max_min", max_min_, max_min_);
      priv.param("min_max", min_max_, min_max_);
      priv.param("over_exposure_threshold", over_exposure_threshold_, over_exposure_threshold_);
      priv.param("over_exposure_dilation", over_exposure_dilation_, over_exposure_dilation_);
      
      std::string mask;
      priv.param("mask", mask, std::string(""));
      if (!mask.empty())
      {
        mask_ = cv::imread(mask, 0);
      }

      image_transport::ImageTransport it(node);
      image_pub_ = it.advertise("normalized_image", 1);
      image_sub_ = it.subscribe("image", 1, &ContrastStretchNodelet::ImageCallback, this);
    }

    void ImageCallback(const sensor_msgs::ImageConstPtr& image)
    {
      cv_bridge::CvImagePtr cv_image = cv_bridge::toCvCopy(image);

      if (mask_.empty())
      {
        mask_ = cv::Mat::ones(cv_image->image.size(), CV_8U);
      }
      else if (mask_.rows != cv_image->image.rows || mask_.cols != cv_image->image.cols)
      {
        cv::resize(mask_, mask_, cv_image->image.size(), 1.0, 1.0, cv::INTER_NEAREST);
      }

      cv::Mat mask;

      if (over_exposure_threshold_ < 255 && over_exposure_threshold_ > 0)
      {
        cv::Mat over_exposed = cv_image->image > over_exposure_threshold_;
        cv::Mat element = cv::getStructuringElement(
          cv::MORPH_ELLIPSE,
          cv::Size(2 * over_exposure_dilation_ + 1, 2 * over_exposure_dilation_ + 1 ),
          cv::Point(over_exposure_dilation_, over_exposure_dilation_ ));
        cv::dilate(over_exposed, over_exposed, element);
        
        mask = mask_.clone();
        mask.setTo(0, over_exposed);
      }
      else
      {
        mask = mask_;
      }

      swri_image_util::ContrastStretch(bins_, cv_image->image, cv_image->image, mask, max_min_, min_max_);

      image_pub_.publish(cv_image->toImageMsg());
    }

  private:
    int32_t bins_;
    double max_min_;
    double min_max_;
    double over_exposure_threshold_;
    int32_t over_exposure_dilation_;
    
    cv::Mat mask_;

    image_transport::Subscriber image_sub_;
    image_transport::Publisher image_pub_;

  };
}

// Register nodelet plugin
#include <pluginlib/class_list_macros.h>
PLUGINLIB_DECLARE_CLASS(
    swri_image_util,
    contrast_stretch,
    swri_image_util::ContrastStretchNodelet,
    nodelet::Nodelet)