opencv学习之路一 ubuntu 环境下qt4.7 +opencv 2.4.3使用

本文详细介绍如何在Ubuntu系统上安装Qt SDK及OpenCV 2.4.3，并通过示例代码展示如何在Qt Creator中集成OpenCV进行图像处理。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

1、安装qt SDK ，qt-sdk-linux-x86-opensource-2010.05.1.bin

百度云地址：http://pan.baidu.com/share/link?shareid=167878&uk=1879203302

2、安装opencv2.4.3

   （1）运行 apt-cache search opencv，可以看到如下输出
    libcv-dev - development files for libcv
libcv4 - computer vision library
libcvaux-dev - development files for libcvaux
libcvaux4 - computer vision extension library
libhighgui-dev - development files for libhighgui
libhighgui4 - computer vision GUI library
opencv-doc - OpenCV documentation and examples
python-opencv - Python bindings for the computer vision library
harpia - Image Processing/Computer Vision Automatic Prgm. Tool
     （2）把下面这些都装上
   sudo apt-get install libcv-dev libcv4 libcvaux-dev libcvqux4 libhighgui-dev libhighgui4 python-opencv opencv-doc
     （3）编译测试
   进入安装源文件下面的sample/c/下面，执行./build_all.sh。所有例子都被编译。然后随便执行一个。执行的时候会报错，例如
./contours: error while loading shared libraries: libopencv_calib3d.so.2.4: cannot open shared object file: No such file or directory
找不到这个库的位置，环境变量里面要添加这个路径，安装成功
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/

3、在QtCreater 中新建 QT 控制台程序，如下代码

#include <QtCore/QCoreApplication>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace cv;

int main(int argc, char *argv[])
{
    //QCoreApplication a(argc, argv);
    namedWindow ("result", CV_WINDOW_AUTOSIZE);
    Mat src1= imread("lena.jpg",1 );
    while(1)
    {
         imshow( "result", src1 );
         char c=waitKey(30);
         if(32==c)
         {
           return 0;
         }
    }
   // return a.exec();
}

4、添加opencv库支持

在工程的.pro文件尾端添加如下代码：

INCLUDEPATH +=/usr/local/include \
              /usr/local/include/opencv\
               /usr/local/include/opencv2
LIBS += /usr/local/lib/libopencv_highgui.so \
              /usr/local/lib/libopencv_core.so \
          /usr/local/lib/libopencv_imgproc.so

5、将所用的lena.jpg 图片放到 - build-desktop文件夹下面，然后运行程序。

运行出来的图像如下，按空格键退出显示。