我一直在使用OpenCV进行手部识别,我得到了这个代码,我可以找到轮廓,凸包和外壳。一些缺陷点。但我现在无法从缺陷点绘制最小的圆(只是轮廓)。我想知道如何使用像缺陷点这样的特定点来绘制圆形轮廓。顺便说一句,我使用的是XCode 5.1&对不起,我的英语不好。谢谢!
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv/cvaux.h>
using namespace cv;
using namespace std;
Mat image, gray_image, blur_image, binary_image;
int thresh = 90;
int main( int argc, char** argv){
namedWindow("Window", CV_WINDOW_AUTOSIZE);
image = imread("/Users/Jamesbond/Desktop/hand.png");
cvtColor(image, gray_image, CV_BGR2GRAY);
medianBlur(gray_image, blur_image, 11);
Canny(blur_image, binary_image, 90, 180, 3);
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours(binary_image, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0,0));
if(contours.size()>0){
vector<vector<int>>hull(contours.size());
vector<vector<Vec4i>>convDef(contours.size());
vector<vector<Point>>hull_points(contours.size());
vector<vector<Point>> defect_points(contours.size());
for( int i = 0; i < contours.size(); i++ )
{
convexHull( contours[i], hull[i], false );
convexityDefects( contours[i],hull[i], convDef[i]);
for(int k=0;k<hull[i].size();k++)
{
int ind=hull[i][k];
hull_points[i].push_back(contours[i][ind]);
}
for(int k=0;k<convDef[i].size();k++)
{
int ind = convDef[i][k][2];
defect_points[i].push_back(contours[i][ind]);
circle(image,contours[i][ind],5,Scalar(255,0,0),-1);
drawContours( image, contours, i, Scalar(255,0,255), 2, 8, vector<Vec4i>(), 0, Point());
drawContours( image, hull_points, i, Scalar(255,255,0), 2, 8, vector<Vec4i>(), 0, Point());
}
}
imshow("Window", image);
waitKey(0);
}
}
答案 0 :(得分:1)
尚未测试过,但它应该是:
// collect the defects:
//
for(int k=0;k<convDef[i].size();k++)
{
int ind = convDef[i][k][2];
defect_points[i].push_back(contours[i][ind]);
circle(image,contours[i][ind],5,Scalar(255,0,0),-1);
drawContours( image, contours, i, Scalar(255,0,255), 2, 8, vector<Vec4i>(), 0, Point());
drawContours( image, hull_points, i, Scalar(255,255,0), 2, 8, vector<Vec4i>(), 0, Point());
}
// draw smallest circle around defects:
//
Point center;
float radius;
minEnclosingCircle( defect_points, center, radius );
circle(image,center,radius,Scalar(255,0,0),3);