Introduction to OpenCV and build the environment

1. OpenCV is an open source library for computer vision. The main algorithms involve image processing and machine learning related methods.It was contributed by Intel Corporation, and Russian engineers contributed most of the C/C++ code.Used in most image processing related applications, BSD license, can be used for free in commercial and research fields, the current SDK supported languages ​​include Java, Python, IOS and Android versions.

2. The OpenCV3.0 version constitutes a module, which can be viewed at this address: OpenCV: OpenCV moduleshttps://docs.opencv.org/3.0.0/index.html

3. Use the environment to build the preparation work

3.1, install VS2015

3.2, install OpenCV3.0 version

3.3, new console application

int main(int argc, char** args){return 0;}

3.4, add header file directory, add library file directory, add additional link library, add dynamic library to exe directory

Add header file:

D:\opencv3.1\opencv\build\include

D:\opencv3.1\opencv\build\include\opencv

D:\opencv3.1\opencv\build\include\opencv2

Add library file

D:\opencv3.1\opencv\build\x64\vc14\lib

Add additional link library

Opencv_world310.lib

Add dynamic library to exe directory

Opencv_world310.dll, opencv_ts310.dll

3.5, add sample code

#include #include #include #include  using namespace cv;using namespace std;int main(int argc, char** args){Mat image = imread("lena.jpg", IMREAD_GRAYSCALE);if (image.empty()){cout << "could not find the image resource..." << std::endl;return -1;}namedWindow("My Image", CV_WINDOW_AUTOSIZE);imshow("My Image", image);waitKey(0); return 0;}