版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/sileixinhua/article/details/78239126
Opencv3 的开发环境安装和导入请看
http://blog.csdn.net/sileixinhua/article/details/71175748
所有的OpenCV3_C++实例代码请看
https://github.com/sileixinhua/OpenCV_C-_tutorials
实例
#include "stdafx.h"
#include <opencv2/opencv.hpp>
#pragma comment(lib,"opencv_world330.lib")
//using namespace cv;
//using namespace std;
//去掉以上两行代码注释之后就可以不用在下面的代码中加上cv::和std::
//cv::为OpenCV的函数库
//std::为C++的标准函数库
int DetectEye() {
cv::Mat src, gray, equalize, dst;
const char* filename = "C:\\Code\\FirstOpenCVProgramming\\lena.jpg";
cv::imread(filename).copyTo(src);
if (src.empty()) {
throw("Faild open file.");
}
cvtColor(src, gray, cv::COLOR_RGB2GRAY);
equalizeHist(gray, equalize);
cv::CascadeClassifier objDetector("C:\\OpenCV\\opencv\\build\\etc\\haarcascades\\haarcascade_eye.xml");
//和脸部识别一样,就是特征文件变化了
std::vector<cv::Rect> objs;
objDetector.detectMultiScale(equalize, objs, 1.2, 2, CV_HAAR_SCALE_IMAGE, cv::Size(30, 30));
src.copyTo(dst);
std::vector<cv::Rect>::const_iterator it = objs.begin();
for (; it != objs.end(); ++it) {
rectangle(dst, cv::Point(it->x, it->y),
cv::Point(it->x + it->width, it->y + it->height),
cv::Scalar(0, 0, 255), 2, CV_AA);
}
cv::imshow("src", src);
cv::imshow("dst", dst);
cv::imwrite("C:\\Code\\FirstOpenCVProgramming\\DetectEye.jpg", dst);
cv::waitKey();
}
int main()
{
//以下的方法如果想运行,直接把前头的注释去掉即可
//运行代码的时候请改掉filename里的地址
//我的opencv是安装在C盘目录下
//一些目录地址请自行修改一下
DetectEye();//图像眼睛识别
return 0;
}