RealSense OpenCV 深度图像太暗

Question

各位，

我有一个 realsense SR300，但是当我在 opencv 中显示我的深度图像时 window，它看起来太暗了。我怎样才能解决这个问题？当我运行实感示例时，图像看起来不错，但示例使用 OpenGL。但是我的项目需要 OpenCV。这是我的代码：

int main(int argc, char ** argv)
{
  // realsense camera setup
  rs::log_to_console(rs::log_severity::warn);
  // Create a context object. This object owns the handles to all connected realsense devices
  rs::context ctx;
  if (ctx.get_device_count() == 0)
  {
    throw std::runtime_error("No device detected. Is it plugged in?");
  }
  // Access the first available RealSense device
  rs::device * dev = ctx.get_device(0);
  // Configure depth to run at VGA resolution at 30 frames per second
  dev->enable_stream(rs::stream::depth, 640, 480, rs::format::z16, 30);
  rs::intrinsics depth_intrin;
  rs::format depth_format;
  depth_intrin = dev->get_stream_intrinsics(rs::stream::depth);
  depth_format = dev->get_stream_format(rs::stream::depth);
  cv::namedWindow("Send Display Image", CV_WINDOW_AUTOSIZE);

  /* Set callbacks prior to calling start(). */
  auto depth_callback = [depth_intrin, depth_format](rs::frame f)
  {
    cv::Mat image(cv::Size(640, 480), CV_16UC1,
      (void*)f.get_data(), cv::Mat::AUTO_STEP);
    cv::imshow("Send Display Image", image);
    cv::waitKey(1000/80);
  };
  /* callback to grab depth fream and publish it. */
  dev->set_frame_callback(rs::stream::depth, depth_callback);
  // Start streaming
  dev->start();
  While(1)
  {

  }
  return 0;
}

我不知道为什么我的图像这么暗。当我从 ROS

运行 openni_launch 时，我希望它看起来像 kinect 或 Xtion

Answer 1

编辑：

下面的归一化函数产生了一些闪烁：

我怀疑这是由于最大深度值闪烁所致。
最小深度值始终是 0，因为当深度无效时使用此值，因此深度范围变为假。

你应该使用这个：

void make_depth_histogram(const Mat &depth, Mat &normalized_depth) {
  normalized_depth = Mat(depth.size(), CV_8U);
  int width = depth.cols, height = depth.rows;

  static uint32_t histogram[0x10000];
  memset(histogram, 0, sizeof(histogram));

  for(int i = 0; i < height; ++i) {
    for (int j = 0; j < width; ++j) {
      ++histogram[depth.at<ushort>(i,j)];
    }
  }

  for(int i = 2; i < 0x10000; ++i) histogram[i] += histogram[i-1]; // Build a cumulative histogram for the indices in [1,0xFFFF]

  for(int i = 0; i < height; ++i) {
    for (int j = 0; j < width; ++j) {
      if (uint16_t d = depth.at<ushort>(i,j)) {
        int f = histogram[d] * 255 / histogram[0xFFFF]; // 0-255 based on histogram location
        normalized_depth.at<uchar>(i,j) = static_cast<uchar>(f);
      } else {
        normalized_depth.at<uchar>(i,j) = 0;
      }
    }
  }
}

您观察到的是因为深度流编码为 16 位 (rs::stream::z16)，而显示时仅使用 8 位。

您可以标准化深度图：

double min, max;
minMaxLoc(depth, &min, &max);
Mat depth_normalized;
double alpha = 255.0/(max-min);
depth.convertTo(depth_normalized, CV_8U, alpha, -min*alpha);

或者使用一种颜色图来显示深度：make_depth_histogram().

完整演示代码：

inline void make_depth_histogram(const Mat &depth, Mat &color_depth) {
  color_depth = Mat(depth.size(), CV_8UC3);
  int width = depth.cols, height = depth.rows;

  static uint32_t histogram[0x10000];
  memset(histogram, 0, sizeof(histogram));

  for(int i = 0; i < height; ++i) {
    for (int j = 0; j < width; ++j) {
      ++histogram[depth.at<ushort>(i,j)];
    }
  }

  for(int i = 2; i < 0x10000; ++i) histogram[i] += histogram[i-1]; // Build a cumulative histogram for the indices in [1,0xFFFF]

  for(int i = 0; i < height; ++i) {
    for (int j = 0; j < width; ++j) {
      if (uint16_t d = depth.at<ushort>(i,j)) {
        int f = histogram[d] * 255 / histogram[0xFFFF]; // 0-255 based on histogram location
        color_depth.at<Vec3b>(i,j) = Vec3b(f, 0, 255 - f);
      } else {
        color_depth.at<Vec3b>(i,j) = Vec3b(0, 5, 20);
      }
    }
  }
}

int main(int argc, char *argv[]) {
    // Create a context object. This object owns the handles to all connected realsense devices
    rs::context ctx;

    // Access the first available RealSense device
    rs::device * dev = ctx.get_device(0);

    // Configure Infrared stream to run at VGA resolution at 30 frames per second
    dev->enable_stream(rs::stream::depth, 640, 480, rs::format::z16, 30);

    // Start streaming
    dev->start();

    // Camera warmup - Dropped several first frames to let auto-exposure stabilize
    for(int i = 0; i < 30; i++)
       dev->wait_for_frames();

    // Creating OpenCV Matrix from a color image
    Mat depth(Size(640, 480), CV_16U, (void*)dev->get_frame_data(rs::stream::depth), Mat::AUTO_STEP);

    // Create a color depth
    Mat color_depth;
    make_depth_histogram(depth, color_depth);

    // Create a normalized depth
    double min, max;
    minMaxLoc(depth, &min, &max);
    Mat depth_normalized;
    double alpha = 255.0/(max-min);
    depth.convertTo(depth_normalized, CV_8U, alpha, -min*alpha);

    // Display in a GUI
    imshow("Display normalized depth", depth_normalized);
    imshow("Display color depth", color_depth);

    waitKey(0);

    return 0;
  }

Answer 2

我发现这个问题的唯一解决方案如下：

将图像保存为 PNG 文件。（PNG 支持保存 16 位图像）

使用matplotlib在彩色地图中查看：

 #!/usr/bin/python3
 import numpy as np
 import cv2
 import sys
 from matplotlib import pyplot as plt

 def printCoordinates(event):
     x,y = event.xdata,event.ydata
     if x != None:
         print("X : ",x," Y: ",y," Value = ",img[np.int(y),np.int(x)])

 img = cv2.imread(sys.argv[1],cv2.CV_16UC1)
 #img = img/65535

 fig = plt.figure()
 plt.imshow(img,cmap='nipy_spectral')
 cid = fig.canvas.mpl_connect('button_press_event',printCoordinates)
 plt.colorbar()
 plt.show()

button_press_event是在点击的像素上打印准确的像素值。

RGB 图像：

对应深度图：

RealSense OpenCV 深度图像太暗

RealSense OpenCV Depth Image Too Dark

c++

opengl

opencv

depth

realsense