VS2013+openCV2.4.10环境配置

一、openCV环境配置步骤

1.下载opencv-2.4.10到任意文件夹，然后解压，配置环境变量PATH： F:\opencv\opencv\build\x86\vc12\bin（按你自己存放的地址）

2.建立一个工程配置opencv，可以建一个属性表，方便以后都不用再配置，也可以单独给一个工程配。如下图先配置包含目录：

3.库目录配置lib

4.在链接器的输入中，加入lib文件

附加依赖项：
opencv_ml2410d.lib
opencv_calib3d2410d.lib
opencv_contrib2410d.lib
opencv_core2410d.lib
opencv_features2d2410d.lib
opencv_flann2410d.lib
opencv_gpu2410d.lib
opencv_highgui2410d.lib
opencv_imgproc2410d.lib
opencv_legacy2410d.lib
opencv_objdetect2410d.lib
opencv_ts2410d.lib
opencv_video2410d.lib
opencv_nonfree2410d.lib
opencv_ocl2410d.lib
opencv_photo2410d.lib
opencv_stitching2410d.lib
opencv_superres2410d.lib

opencv_videostab2410d.lib

二、openCV测试代码

#include "stdafx.h"
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char **argv)
{
	const char* filename = "G:\\点云\\vs2013\\project\\ConsoleApplication1\\dragon.jpg";
	Mat srcImg = imread(filename, CV_LOAD_IMAGE_COLOR);
	if (srcImg.empty())
		return -1;


	double timeSpent = (double)getTickCount();
Mat tmp1Img(srcImg.size(), CV_8UC1);
	Mat tmp3Img(srcImg.size(), CV_8UC3);
	cvtColor(srcImg, tmp1Img, CV_RGB2GRAY);
	cvtColor(tmp1Img, tmp3Img, CV_GRAY2RGB);

	Mat dstImg(srcImg.size(), CV_8UC3);

	double blender;

	for (int i = 0; i<100; i++)
	{
		blender = (double)i / 100.0;
		addWeighted(srcImg, 1 - blender, tmp3Img, blender, 0, dstImg);
		imshow("result", dstImg);

		waitKey(30);
	}
timeSpent = ((double)getTickCount() - timeSpent) / 	getTickFrequency();
	cout << "Time spent in milliseconds: " << timeSpent * 1000 << endl;

	waitKey(0);

	return 0;
}

效果图如下:

注：vc8 = Visual Studio 2005，vc9 = Visual Studio 2008，vc10 = Visual Studio 2010，vc11 = Visual Studio 2012，vc12 = Visual Studio 2013。不管你是32位还是64位操作系统，只用管你用win32编译器还是X64 编译器。其实配置选择什么跟64位还是32位系统没有直接的关系，而是在于你在编译你的程序的时候是使用那个编译器。编译器是win32，就用x86编译器是X64，就用X64。不过一般情况下，都是用的win32的X86编译器。所以，无论32还是 64位操作系统，配置文件最好都选择x86版的。