1.安裝依賴
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.下載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.解壓並創建編譯目錄
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.編譯
make
5.安裝
sudo make install
6.配置
sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
執行配置：sudo ldconfig
7.測試
通過例子測試
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
或者編寫簡單文件測試
(1)在某個目錄下建立一個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)寫一個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，編譯+運行
在test.cpp和CMakeLists.txt同目錄下建立build文件，用來存放編譯的文件
mkdir build
cd build
cmake . .
make
得到可執行文件test
最后. 隨便弄個jpg圖片做個測試，注意要和上面那個可執行文件放在同一目錄下面,我這里名字取的是test.jpg。
(4)./test test.jpg 如果能看到照片，那就表示成功了。