OpenCV Introduction: Open Source Computer Vision

OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage and is now maintained by Itseez. The library is cross-platform and free for use under the open-source BSD license.

OpenCV Tutorial C++
OpenCV Tutorial C++

How to install and configure
https://www.opencv-srf.com/2017/11/install-opencv-with-visual-studio.html


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https://opencv.org/links.html

Code:
https://github.com/MasteringOpenCV/code


CQ Linq
https://www.cppdepend.com/Doc_CQLinq_Features.aspx

Introduction urls:
https://docs.opencv.org/2.4/modules/core/doc/intro.html


cv Namespace
All the OpenCV classes and functions are placed into the cv namespace. Therefore, to access this functionality from your code, use the cv:: specifier or using namespace cv; directive:

Mat: Mat is basically a class with two data parts: the matrix header (containing information such as the size of the matrix, the method used for storing, at which address is the matrix stored, and so on) and a pointer to the matrix containing the pixel values (taking any dimensionality depending on the method chosen for storing) . The matrix header size is constant, however the size of the matrix itself may vary from image to image and usually is larger by orders of magnitude.


Introduction Program: 
#include "stdafx.h"

#include<opencv2\opencv.hpp>
#include<iostream>
//
using namespace cv;

int main()
{
Mat img = imread("download.jpg");
namedWindow("image",WINDOW_NORMAL);
imshow("image", img);
waitKey(0);
return 0;
}