转载地址:http://blog.csdn.net/dawn1227/article/details/64125542
简单思路:
1.提取感兴趣区域后
2.将图片二值化,通过白色像素点所占比判断前方是否有斑马线
// // main.cpp // test0 // // Created by 吴卓 on 16/10/6. // Copyright © 2016年 吴卓. All rights reserved. // #include <iostream> #include <opencv2/opencv.hpp> using namespace std; using namespace cv; #define cvQueryHistValue_1D( hist, idx0 ) \ ((float)cvGetReal1D( (hist)->bins, (idx0))) int bSums(Mat src) { int counter = 0; //迭代器访问像素点 Mat_<uchar>::iterator it = src.begin<uchar>(); Mat_<uchar>::iterator itend = src.end<uchar>(); for (; it!=itend; ++it) { if((*it)>0) counter+=1;//二值化后,像素点是0或者255 } return counter; } int main() { Mat image=imread("/Users/wuzhuo/Desktop/大创/斑马线1.jpg", CV_LOAD_IMAGE_COLOR); Mat I; cvtColor(image,I,CV_BGR2GRAY); Mat roi1(I, Rect(0,260,1024,100)); threshold(roi1, roi1, 180, 255, CV_THRESH_BINARY); //灰度变二值 namedWindow("1", CV_WINDOW_AUTOSIZE); imshow("1", roi1); waitKey(); int a = bSums(roi1);//调用函数bSums imshow("A",roi1); imwrite("/Users/wuzhuo/Desktop/斑马线1.jpg", roi1); if (a > 5000) { cout << "注意:前方有斑马线" << endl; } //cout << "A:" << a << endl; waitKey(); return 0; }