一、點與輪廓的距離及位置關系
1 #include "opencv2/opencv.hpp" 2 #include <iostream> 3 using namespace std; 4 using namespace cv; 5 6 void main() 7 { 8 //計算點到輪廓的距離與位置關系 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 //查找輪廓 18 vector<vector<Point>> contours; 19 vector<Vec4i> hierarcy; 20 findContours(srcImg, contours, hierarcy, CV_RETR_TREE, CV_CHAIN_APPROX_NONE);//TREE:提取所有輪廓 NONE：畫出輪廓所有點 21 cout << "contours.size()=" << contours.size() << endl; 22 for (int i = 0; i < contours.size(); i++)//遍歷每個輪廓 23 { 24 for (int j = 0; j < contours[i].size(); j++)//遍歷輪廓每個點 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);//點到輪廓的最短距離 31 double b0 = pointPolygonTest(contours[0], Point(212, 184), false);//點與輪廓的位置關系：-1表示外部；0表示在輪廓上；1表示輪廓內部 32 cout << "a0=" << a0 << endl; 33 cout << "b0=" << b0 << endl; 34 waitKey(0); 35 }
a0之所以是負數，是因為點在輪廓外部
二、輪廓的矩
輪廓矩的介紹：
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、形狀匹配--matchShapes()
注意與模板匹配matchTemplate()相區分。形狀匹配對於旋轉、尺度、位移都能適應。
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"); //模板圖像 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"); //待測試圖片 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);//形狀匹配:值越小越相似 30 cout << "index=" << i << "---" << setiosflags(ios::fixed) << matchRate << endl;//setiosflags(ios::fixed)是用定點方式表示實數，保留相同位數，相同格式輸出 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 }
