转自：http://www.cnblogs.com/simplelovecs/p/5156458.html

opencv编译安装

编译环境安装：

sudo apt-get install build-essential

必需包安装：

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

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可选包安装：

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

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opencv下载：

　　稳定版

wget https://github.com/Itseez/opencv/archive/3.1.0.zip

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　　github源代码

git clone git://github.com/Itseez/opencv.git

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创建编译的临时目录：

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cd ~/opencv
mkdir build
cd build

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　　注意：这里假设opencv解压开的或者从github获取的源代码目录在用户主目录下。

生成cmake编译配置：

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..

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编译：

make -j4 # runs 4 jobs in parallel

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安装opencv：

sudo make install

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运行测试：

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git clone https://github.com/Itseez/opencv_extra.git
OPENCV_TEST_DATA_PATH=~/opencv_extra
~/opencv/build/bin/opencv_test_core

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一个例子：

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mkdir test
cd test

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其次，创建文件 DisplayImage.cpp 如下：

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#include <stdio.h>
#include <opencv2/opencv.hpp>
usingnamespacecv;
int main(int argc,char** argv )
{
    if( argc != 2 )
    {
        printf("usage: DisplayImage.out <Image_Path>\n");
        return-1;
    }
    Mat image;
    image = imread( argv[1],1 );
    if( !image.data )
    {
        printf("No image data \n");
        return-1;
    }
    namedWindow("Display Image",WINDOW_AUTOSIZE );
    imshow("Display Image",image);
    waitKey(0);
    return0;
}

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接着，创建cmake配置文件 CMakeLists.txt，如下：

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cmake_minimum_required(VERSION 2.8)
project( DisplayImage )
find_package( OpenCV required )
include_directories( ${OpenCV_INCLUDE_DIRS} )
add_executable( DisplayImage DisplayImage.cpp )
target_link_libraries( DisplayImage ${OpenCV_LIBS} )

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最后运行：