In file included from /usr/include/c++/5/chrono:35:0,及‘chrono’ has not been declared问题如何解决

在执行opencv操作图像时出现错误，编译无法成功进行，求请教解决方法

In file included from /usr/include/c++/5/chrono:35:0,
                 from imageBasics.cpp:2:
/usr/include/c++/5/bits/c++0x_warning.h:32:2: error: #error This file requires compiler and library support for the ISO C++ 2011 standard. This support must be enabled with the -std=c++11 or -std=gnu++11 compiler options.
 #error This file requires compiler and library support \
  ^
imageBasics.cpp: In function ‘int main(int, char**)’:
imageBasics.cpp:14:24: error: ‘nullptr’ was not declared in this scope
     if ( image.data == nullptr ) //数据不存在,可能是文件不存在
                        ^
imageBasics.cpp:34:5: error: ‘chrono’ has not been declared
     chrono::steady_clock::time_point t1 = chrono::steady_clock::now();
     ^
imageBasics.cpp:50:5: error: ‘chrono’ has not been declared
     chrono::steady_clock::time_point t2 = chrono::steady_clock::now();
     ^
imageBasics.cpp:51:5: error: ‘chrono’ has not been declared
     chrono::duration<double> time_used = chrono::duration_cast<chrono::duration
     ^
imageBasics.cpp:51:22: error: expected primary-expression before ‘double’
     chrono::duration<double> time_used = chrono::duration_cast<chrono::duration
                      ^
imageBasics.cpp:52:36: error: ‘time_used’ was not declared in this scope
     cout<<"遍历图像用时："<<time_used.count()<<" 秒。"<<endl;

我的代码如下

#include <iostream>
#include <chrono>//时间相关的库

using namespace std;

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

int main(int argc, char **argv) {
  // 读取argv[1]指定的图像
  cv::Mat image;
  image = cv::imread(argv[1]); //cv::imread函数读取指定路径下的图像

  // 判断图像文件是否正确读取
  if (image.data == nullptr) { //数据不存在,可能是文件不存在
    cerr << "文件" << argv[1] << "不存在." << endl;
    return 0;
  }

  // 文件顺利读取, 首先输出一些基本信息
  cout << "图像宽为" << image.cols << ",高为" << image.rows << ",通道数为" << image.channels() << endl;
  cv::imshow("image", image);      // 用cv::imshow显示图像
  cv::waitKey(0);                  // 暂停程序,等待一个按键输入

  // 判断image的类型
  if (image.type() != CV_8UC1 && image.type() != CV_8UC3) {//单通道灰度,三通道彩色
    // 图像类型不符合要求
    cout << "请输入一张彩色图或灰度图." << endl;
    return 0;
  }

  // 遍历图像, 请注意以下遍历方式亦可使用于随机像素访问
  // 使用 std::chrono 来给算法计时
  chrono::steady_clock::time_point t1 = chrono::steady_clock::now();
  for (size_t y = 0; y < image.rows; y++) {  //高对应行
    // 用cv::Mat::ptr获得图像的行指针
    unsigned char *row_ptr = image.ptr<unsigned char>(y);  // row_ptr是第y行的头指针
    for (size_t x = 0; x < image.cols; x++) {  //宽对应行
      // 访问位于 x,y 处的像素
      unsigned char *data_ptr = &row_ptr[x * image.channels()]; // data_ptr 指向待访问的像素数据
      // 输出该像素的每个通道,如果是灰度图就只有一个通道
      for (int c = 0; c != image.channels(); c++) {
        unsigned char data = data_ptr[c]; // data为I(x,y)第c个通道的值
      }
    }
  }
  chrono::steady_clock::time_point t2 = chrono::steady_clock::now();
  chrono::duration<double> time_used = chrono::duration_cast < chrono::duration < double >> (t2 - t1);
  cout << "遍历图像用时：" << time_used.count() << " 秒。" << endl;

  // 关于 cv::Mat 的拷贝
  // 直接赋值并不会拷贝数据
  cv::Mat image_another = image;
  // 修改 image_another 会导致 image 发生变化
  image_another(cv::Rect(0, 0, 100, 100)).setTo(0); // 将左上角100*100的块置零,左上角100*100变黑色
  cv::imshow("image", image);
  cv::waitKey(0);

  // 使用clone函数来拷贝数据
  cv::Mat image_clone = image.clone();
  image_clone(cv::Rect(0, 0, 100, 100)).setTo(255);//左上角100*100变白色
  cv::imshow("image", image);
  cv::imshow("image_clone", image_clone);
  cv::waitKey(0); // 暂停程序,等待一个按键输入

  // 对于图像还有很多基本的操作,如剪切,旋转,缩放等,限于篇幅就不一一介绍了,请参看OpenCV官方文档查询每个函数的调用方法.
  cv::destroyAllWindows();//关闭所有打开窗口
  return 0;
}

其中cmakelists文件也添加啦一下内容

#添加c++ 11标准支持

add_definitions(-std=c++11)
 
#寻找opencv库
find_package( OpenCV REQUIRED )

#添加头文件
include_directories( ${OpenCV_INCLUDE_DIRS} )

add_executable( imageBasics imageBasics.cpp )
#链接 OpenCV库
target_link_libraries( imageBasics ${OpenCV_LIBS} )