一、点与轮廓的距离及位置关系
1 #include "opencv2/opencv.hpp" 2 #include <iostream> 3 using namespace std; 4 using namespace cv; 5 6 void main() 7 { 8 //计算点到轮廓的距离与位置关系 9 Mat srcImg = imread("E://00.png"); 10 imshow("src", srcImg); 11 12 Mat dstImg = srcImg.clone(); 13 cvtColor(srcImg, srcImg, CV_BGR2GRAY); 14 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); 15 imshow("threshold", srcImg); 16 17 //查找轮廓 18 vector<vector<Point>> contours; 19 vector<Vec4i> hierarcy; 20 findContours(srcImg, contours, hierarcy, CV_RETR_TREE, CV_CHAIN_APPROX_NONE);//TREE:提取所有轮廓 NONE：画出轮廓所有点 21 cout << "contours.size()=" << contours.size() << endl; 22 for (int i = 0; i < contours.size(); i++)//遍历每个轮廓 23 { 24 for (int j = 0; j < contours[i].size(); j++)//遍历轮廓每个点 25 { 26 cout << "(" << contours[i][j].x << "," << contours[i][j].y << ")" << endl; 27 } 28 } 29 30 double a0 = pointPolygonTest(contours[0], Point(3, 3), true);//点到轮廓的最短距离 31 double b0 = pointPolygonTest(contours[0], Point(212, 184), false);//点与轮廓的位置关系：-1表示外部；0表示在轮廓上；1表示轮廓内部 32 cout << "a0=" << a0 << endl; 33 cout << "b0=" << b0 << endl; 34 waitKey(0); 35 }
a0之所以是负数，是因为点在轮廓外部
二、轮廓的矩
轮廓矩的介绍：
http://blog.csdn.net/cp32212116/article/details/38374015
http://blog.csdn.net/huixingshao/article/details/42060231
1 #include "opencv2/opencv.hpp" 2 #include <iostream> 3 using namespace std; 4 using namespace cv; 5 6 void main() 7 { 8 Mat srcImg = imread("E://00.png"); 9 imshow("src", srcImg); 10 11 Mat dstImg = srcImg.clone(); 12 cvtColor(srcImg, srcImg, CV_BGR2GRAY); 13 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); 14 //imshow("threshold", srcImg); 15 16 vector<vector<Point>> contours; 17 vector<Vec4i> hierarcy; 18 findContours(srcImg, contours, hierarcy, CV_RETR_TREE, CV_CHAIN_APPROX_NONE); 19 cout << "contours.size()=" << contours.size() << endl; 20 Moments moment0 = moments(contours[0], false); 21 cout << moment0.m00<< endl; 22 waitKey(0); 23 }
三、形状匹配--matchShapes()
注意与模板匹配matchTemplate()相区分。形状匹配对于旋转、尺度、位移都能适应。
1 #include "opencv2/opencv.hpp" 2 #include <iostream> 3 #include <iomanip> 4 using namespace std; 5 using namespace cv; 6 7 void main() 8 { 9 Mat srcImg = imread("1.jpg"); //模板图像 10 imshow("src", srcImg); 11 cvtColor(srcImg, srcImg, CV_BGR2GRAY); 12 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); 13 vector<vector<Point>> contours; 14 vector<Vec4i> hierarcy; 15 findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); 16 17 Mat srcImg2 = imread("2.jpg"); //待测试图片 18 imshow("src2", srcImg2); 19 Mat dstImg = srcImg2.clone(); 20 cvtColor(srcImg2, srcImg2, CV_BGR2GRAY); 21 threshold(srcImg2, srcImg2, 100, 255, CV_THRESH_BINARY); 22 vector<vector<Point>> contours2; 23 vector<Vec4i> hierarcy2; 24 findContours(srcImg2, contours2, hierarcy2, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); 25 while (1) 26 { 27 for (int i = 0; i<contours2.size(); i++) 28 { 29 double matchRate = matchShapes(contours[0], contours2[i], CV_CONTOURS_MATCH_I1, 0.0);//形状匹配:值越小越相似 30 cout << "index=" << i << "---" << setiosflags(ios::fixed) << matchRate << endl;//setiosflags(ios::fixed)是用定点方式表示实数，保留相同位数，相同格式输出 31 if (matchRate <= 0.1) 32 drawContours(dstImg, contours2, i, Scalar(0, 255, 0), 2, 8); 33 imshow("dst", dstImg); 34 /*char key = waitKey(); 35 if (key == 27) 36 break;*/ 37 } 38 break; 39 } 40 waitKey(0); 41 }
