windows下OpenCV在VS2010中的配置

关于 OpenCV的简绍，各位百度即可，这里我直接介绍OpenCV在VS2010中的配置，希望能对各位起到帮助。

首先到官网下载OpenCV，然后双击运行，解压到相应文件夹。这里我解压到了D:\tools目录，自动生成opencv-2.4.8文件夹，我的是2.4.8的版本。

1.设置环境变量

OpenCV库函数需要通过用户环境变量调用所需要的库文件。计算机->右击->属性->高级系统设置->环境变量

在系统变量path变量中增加：

D:\tools\opencv-2.4.8\opencv\build\x86\vc10\bin;

x86代表32位的，x64对应64位的程序

vc10说明是在vs2010中开发，若果是VS2012，则应是D:\tools\opencv-2.4.8\opencv\build\x86\vc11\bin;

2.在VS中新建项目后，右击选择属性

在左边选择Configuration Properties->VC++ Directories，在右边的General中编辑Include Directories，增加以下三项：
D:\tools\opencv-2.4.8\opencv\build\include
D:\tools\opencv-2.4.8\opencv\build\include\opencv
D:\tools\opencv-2.4.8\opencv\build\include\opencv2


在Library Directories中增加以下一项：
D:\tools\opencv-2.4.8\opencv\build\x86\vc10\lib


在Linker->input->additional dependencies添加以下若干，根据自己需要的功能选择，详细查询资料:
opencv_calib3d248.lib
opencv_contrib248.lib
opencv_core248.lib
opencv_features2d248.lib
opencv_flann248.lib
opencv_gpu248.lib
opencv_highgui248.lib
opencv_imgproc248.lib
opencv_legacy248.lib
opencv_ml248.lib
opencv_objdetect248.lib
opencv_ts248.lib
opencv_video248.lib

这里的248是对应的版本，注意不同版本及时修改。

现在就可以调用OpenCV的函数了，下面是个高斯模糊的例子，大家只要把路径改了，应该就可以运行了。

#include "highgui.h"#include "time.h"#include "math.h"#include "omp.h"//获取核函数float *getWeight(int k, float sigma) {int radius = 2 * k + 1;float *filter = new float[radius*radius];float sum = 0;float e = 2.71828;int i, j;for (i = 1; i<radius + 1; i++)for (j = 1; j<radius + 1; j++){float cifang = -((i - k - 1)*(i - k - 1) + (j - k - 1)*(j - k - 1)) / (2 * sigma*sigma);filter[(i - 1)*radius + j - 1] = pow(e, cifang) / (2 * 3.14159*sigma*sigma);sum = sum + filter[(i - 1)*radius + j - 1];}//将权值归一化for (i = 0; i<radius; i++){printf("\n");for (int j = 0; j<radius; j++){filter[i*radius + j] = filter[i*radius + j] / sum;}}return filter;}float *mgaussian(int height, int width, int k, float *weight, float *imagedata, int type) {float *newimage = new float[height*width*type];for (int i = 0; i<height; i++){if (i == 0)printf("core=%d\n", omp_get_num_threads());for (int j = 0; j<width; j++) {//对边缘像素的处理if (i<k || j<k || i >= height - k || j >= width - k){for (int m = 0; m<type; m++)newimage[3 * width*i + 3 * j + m] = imagedata[3 * width*i + 3 * j + m];continue;}//高斯核函数计算for (int mtype = 0; mtype<type; mtype++){float pixelval = 0;for (int nh = 0; nh<2 * k + 1; nh++)for (int nw = 0; nw<2 * k + 1; nw++){pixelval = pixelval + weight[nh*(2 * k + 1) + nw] * imagedata[type*(i + nh - k)*width + type*(j + nw - k) + mtype];}newimage[type*i*width + type*j + mtype] = pixelval;}}}return newimage;}int main(int argc, char** argv){double start = clock();IplImage* img = cvLoadImage("C:\\Users\\heng\\Desktop\\test.jpg");int mwidth, mheight, mtype;int i, j, k = 1;float sigma = 2;// printf("请输入高斯核函数的半径：");// scanf("%d",&k);//printf("请输入高斯核函数的方差sigma：");// scanf("%f",&sigma);mwidth = img->width;mheight = img->height;mtype = img->nChannels;//CvMat *imageMat=cvCreateMat(mheight,mheight*mtype,CV_32FC1);float *imageMat = new float[mwidth*mheight*mtype];float *Gweight = getWeight(k, sigma);//去除像素点放到imageMat中for (i = 0; i<mheight; i++)for (j = 0; j<mwidth; j++) {CvScalar s;s = cvGet2D(img, i, j);// get the (i,j) pixel valuefor (int index = 0; index<mtype; index++) {imageMat[3 * mwidth*i + 3 * j + index] = s.val[index];}}float *imageMat2 = mgaussian(mheight, mwidth, k, Gweight, imageMat, mtype);IplImage* img2 = cvCreateImage(cvSize(mwidth, mheight), IPL_DEPTH_8U, mtype);//将处理后的图像值放入图像中显示for (i = 0; i<mheight; i++)for (j = 0; j<mwidth; j++) {CvScalar s;for (int mmtype = 0; mmtype<mtype; mmtype++) {int p = int(imageMat2[mtype*mwidth*i + mtype*j + mmtype] + 0.5);if (p>255)p = 255;s.val[mmtype] = p;}cvSet2D(img2, i, j, s);}cvNamedWindow("显示原图像", CV_WINDOW_AUTOSIZE);cvShowImage("显示原图像", img);cvNamedWindow("显示高斯滤波处理后的图像", CV_WINDOW_AUTOSIZE);cvShowImage("显示高斯滤波处理后的图像", img2);double end = clock();printf("time=%f", end - start);cvWaitKey(0);cvReleaseImage(&img);cvReleaseImage(&img2);cvDestroyWindow("显示原图像");cvDestroyWindow("显示高斯滤波处理后的图像");delete[] imageMat;delete[] imageMat2;}

如果上面有什么问题，欢迎大家指出。