1 安装所需要的软件 安装所需要的软件 安装所需要的软件
1.1 下载 Microsoft visual Stdudio 2013: en_visual_studio_ultimate_2013_x86_dvd_3009107.iso
1.2 下载OpenCV3: opencv-3.3.0.zip（本文配置所用版本），可到官网 ttp://opencv.org/下载，解压后如下右图。
1.3 安装CMake: https://cmake.org/download/
2 用 CMake 导出 VC++ 项目文件
步骤 1：在 CMake的界面中输入源码路径（ Where is the source code ）该路径中一定要含有CMakeLists.txt文件。因为 cmake命令后面需以含CMakeLists.txt文件的源码目录路径为参数 ， 否则会出错CMake Error: The source directory "/ opencv " does not appear to contain " CMakeLists.txt. 最后设置目标路径（ where to build the binarieswhere to build the binaries ），最好不同于源码路径，同路径也没什么问题，具体如下图所示：
步骤2：点击【Configure】按钮，在弹出的对话框中选择编译软件，如VS2013，并根据需要选择X64或ARM等。
步骤3：点击图中【Generate】开始编译，编译结果如下：
步骤4：再次点击【Configure】，红色消失，结束画面如下，此后便可关闭Cmake界面。
3 编译OpenCV Debug 与Release版本库
完成以上步骤后会在目标路径D:\CVbuild（本文）下生成 OpenCV.sln文件，用VS2013打开。
然后执行以下步骤：
步骤1：在Debug下选择Solution Explorer里的Solution OpenCV，右键点击，运行"Rebuild Solution"。
步骤2：如编译无误，再选择"Configure Manager..."，勾选INSTALL，然后“Build Solution”。
然后是编译Release版本库，同Debug版本的步骤一样，至此，OpenCV编译完成，下面进行相关的配置。
4 设置Windows环境变量，只需将目标路径下D:\CVbuild（本文）下的bin\Release与bin\Debug加入环境变量下的Path变量下即可，路径之间用英文下的分号，具体如下图所示：
5 OpenCV的VS2013配置
打开或新建一个VC++项目，在该项目上右键点击，设置"Properties"，如下图所示：
在“Include Directories”中加入D:\CVbuild\install\include（针对本文）
在"Library Directories"中加入
D:\CVbuild\lib
D:\CVbuild\lib\Debug
D:\CVbuild\lib\Release
然后在Input下的"Additional Dependencies"中加入
opencv_calib3d330d.lib opencv_core330d.lib opencv_dnn330d.lib opencv_features2d330d.lib opencv_flann330d.lib opencv_highgui330d.lib opencv_imgcodecs330d.lib opencv_imgproc330d.lib opencv_ml330d.lib opencv_objdetect330d.lib opencv_photo330d.lib opencv_shape330d.lib opencv_stitching330d.lib opencv_superres330d.lib opencv_ts330d.lib opencv_video330d.lib opencv_videoio330d.lib opencv_videostab330d.lib opencv_calib3d330.lib opencv_core330.lib opencv_dnn330.lib opencv_features2d330.lib opencv_flann330.lib opencv_highgui330.lib opencv_imgcodecs330.lib opencv_imgproc330.lib opencv_ml330.lib opencv_objdetect330.lib opencv_photo330.lib opencv_shape330.lib opencv_stitching330.lib opencv_superres330.lib opencv_ts330.lib opencv_video330.lib opencv_videoio330.lib opencv_videostab330.lib
至此，VS2013配置OpenCV3完成，为了验证是否完成，可以运行一下示例。
#include "opencv2/core/utility.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include <stdio.h> using namespace cv; using namespace std; int edgeThresh = 1; int edgeThreshScharr = 1; Mat image, gray, blurImage, edge1, edge2, cedge; const char* window_name1 = "Edge map : Canny default (Sobel gradient)"; const char* window_name2 = "Edge map : Canny with custom gradient (Scharr)"; // define a trackbar callback static void onTrackbar(int, void*) { blur(gray, blurImage, Size(3, 3)); // Run the edge detector on grayscale Canny(blurImage, edge1, edgeThresh, edgeThresh * 3, 3); cedge = Scalar::all(0); image.copyTo(cedge, edge1); imshow(window_name1, cedge); /// Canny detector with scharr Mat dx, dy; Scharr(blurImage, dx, CV_16S, 1, 0); Scharr(blurImage, dy, CV_16S, 0, 1); Canny(dx, dy, edge2, edgeThreshScharr, edgeThreshScharr * 3); /// Using Canny's output as a mask, we display our result cedge = Scalar::all(0); image.copyTo(cedge, edge2); imshow(window_name2, cedge); } static void help() { printf("\nThis sample demonstrates Canny edge detection\n" "Call:\n" " /.edge [image_name -- Default is ../data/fruits.jpg]\n\n"); } const char* keys = { "{help h||}{@image |../data/fruits.jpg|input image name}" }; int main(int argc, const char** argv) { help(); image = imread("cv01.jpg", IMREAD_COLOR); if (image.empty()) { printf("Cannot read image file\n"); help(); return -1; } cedge.create(image.size(), image.type()); cvtColor(image, gray, COLOR_BGR2GRAY); // Create a window namedWindow(window_name1, 1); namedWindow(window_name2, 1); // create a toolbar createTrackbar("Canny threshold default", window_name1, &edgeThresh, 100, onTrackbar); createTrackbar("Canny threshold Scharr", window_name2, &edgeThreshScharr, 400, onTrackbar); // Show the image onTrackbar(0, 0); // Wait for a key stroke; the same function arranges events processing waitKey(0); return 0; } 若配置没问题，上例可以运行，运行结果如下图：
