Ubuntu14.04安装OpenCV2.4.9

1.安装依赖

sudo apt-get install build-essential libgtk2.0-dev libjpeg-dev libtiff4-dev libjasper-dev libopenexr-dev cmake python-dev python-numpy python-tk libtbb-dev libeigen2-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev libqt4-dev libqt4-opengl-dev sphinx-common texlive-latex-extra libv4l-dev libdc1394-22-dev libavcodec-dev libavformat-dev libswscale-dev

2.下载OpenCV2.4.9（https://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/

或者http://jaist.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.9/）

3.解压并创建编译目录

unzip opencv-2.4.9.zip

cd opencv-2.4.9/

mkdir release

3.cmake生成make文件

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..

4.编译

make

5.安装

sudo make install

6.配置

sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'

执行配置：sudo ldconfig

7.测试

通过例子测试

cd /usr/local/share/OpenCV/samples/c
sudo chmod +x build_all.sh
sudo ./build_all.sh

./facedetect --cascade="/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml" --scale=1.5 lena.jpg

或者编写简单文件测试

(1)在某个目录下建立一个test.cpp文件

#include <cv.h>  
#include <highgui.h>  
  
using namespace cv;  
  
int main(int argc, char* argv[])  
{  
    Mat image;  
    image = imread(argv[1], 1);  
  
    if (argc != 2 || !image.data)   
    {  
        printf("No image data\n");  
        return -1;  
    }  
  
    namedWindow("Display Image", CV_WINDOW_AUTOSIZE);  
    imshow("Display Image", image);  
    waitKey(0);  
    return 0;  
}

(2)写一个cmake的makefile，也叫CMakeLists.txt

cmake_minimum_required(VERSION 2.8)
project(test)
find_package(OpenCV REQUIRED)
add_executable(test test)
target_link_libraries(test ${OpenCV_LIBS})

(3)接着，编译+运行

在test.cpp和CMakeLists.txt同目录下建立build文件，用来存放编译的文件

mkdir build

cd build

cmake . .

make

得到可执行文件test

最后.  随便弄个jpg图片做个测试，注意要和上面那个可执行文件放在同一目录下面,我这里名字取的是test.jpg。

(4)./test test.jpg    如果能看到照片，那就表示成功了。