OpenCV——安装配置及测试（基于Ubuntu16.04）

原文链接：

1.安装前的准备（安装OpenCV的依赖库）

sudo apt-get install git libgtk2.0-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

    1
    2

参考链接：
(https:///chang_shuang/article/details/78239660)
注：一定要装，不然后面会报错。
2.正式安装
跳转链接：
(https:///Mmagic1/article/details/79761824)
3. 配置及测试
（1）新建一个C++项目;
（2）在.pro文件中加入如下路径：

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 \
        /usr/local/lib/libopencv_imgcodecs.so\

（3）main.cpp代码如下（读取图片+腐蚀+模糊+canny边缘检测）：

#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;
using namespace std;
int main()
{
    Mat Image=imread("lena.jpg");
    imshow("view",Image);

    Mat element=getStructuringElement(MORPH_RECT,Size(15,15));
    Mat dstImage;
    erode(Image,dstImage,element);
    imshow("view1",dstImage);

    Mat dstImage1;
    blur(Image,dstImage1,Size(7,7));
    imshow("view2",dstImage1);

    Mat dstImage2,edge,grayImage;
    dstImage2.create(Image.size(),Image.type());
    cvtColor(Image,grayImage,COLOR_BGR2GRAY);
    blur(grayImage,edge,Size(3,3));
    Canny(edge,edge,3,9,3);
    imshow("canny",edge);

    waitKey(0);
    return 0;
}

1.安装前的准备（安装OpenCV的依赖库）

sudo apt-get install git libgtk2.0-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev 

参考链接：
()
注：一定要装，不然后面会报错。
2.正式安装
跳转链接：
()
3. 配置及测试
（1）新建一个C++项目;
（2）在.pro文件中加入如下路径：

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 \
        /usr/local/lib/libopencv_imgcodecs.so\

（3）main.cpp代码如下（读取图片+腐蚀+模糊+canny边缘检测）：

#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;
using namespace std;
int main()
{
    Mat Image=imread("lena.jpg");
    imshow("view",Image);

    Mat element=getStructuringElement(MORPH_RECT,Size(15,15));
    Mat dstImage;
    erode(Image,dstImage,element);
    imshow("view1",dstImage);

    Mat dstImage1;
    blur(Image,dstImage1,Size(7,7));
    imshow("view2",dstImage1);

    Mat dstImage2,edge,grayImage;
    dstImage2.create(Image.size(),Image.type());
    cvtColor(Image,grayImage,COLOR_BGR2GRAY);
    blur(grayImage,edge,Size(3,3));
    Canny(edge,edge,3,9,3);
    imshow("canny",edge);

    waitKey(0);
    return 0;
}

注：图片放在release或文件夹下。
4.运行效果图

1.安装前的准备（安装OpenCV的依赖库）

sudo apt-get install git libgtk2.0-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev 

参考链接：
()
注：一定要装，不然后面会报错。
2.正式安装
跳转链接：
()
3. 配置及测试
（1）新建一个C++项目;
（2）在.pro文件中加入如下路径：

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 \
        /usr/local/lib/libopencv_imgcodecs.so\

（3）main.cpp代码如下（读取图片+腐蚀+模糊+canny边缘检测）：

#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;
using namespace std;
int main()
{
    Mat Image=imread("lena.jpg");
    imshow("view",Image);

    Mat element=getStructuringElement(MORPH_RECT,Size(15,15));
    Mat dstImage;
    erode(Image,dstImage,element);
    imshow("view1",dstImage);

    Mat dstImage1;
    blur(Image,dstImage1,Size(7,7));
    imshow("view2",dstImage1);

    Mat dstImage2,edge,grayImage;
    dstImage2.create(Image.size(),Image.type());
    cvtColor(Image,grayImage,COLOR_BGR2GRAY);
    blur(grayImage,edge,Size(3,3));
    Canny(edge,edge,3,9,3);
    imshow("canny",edge);

    waitKey(0);
    return 0;
}

注：图片放在release或文件夹下。

4.运行效果图