convexityDefects needs a
Convex hull obtained using convexHull() that should contain indices of the contour points that make the hull.
that contains more than 3 indices. So you need this:
vector<vector<Point> >hull(Contours.size());
vector<vector<int> > hullsI(Contours.size()); // Indices to contour points
vector<vector<Vec4i>> defects(Contours.size());
for (int i = 0; i < Contours.size(); i++)
{
convexHull(Contours[i], hull[i], false);
convexHull(Contours[i], hullsI[i], false);
if(hullsI[i].size() > 3 ) // You need more than 3 indices
{
convexityDefects(Contours[i], hullsI[i], defects[i]);
}
}
Then your drawing part is (adapted from here):
/// Draw convexityDefects
for (int i = 0; i < Contours.size(); ++i)
{
for(const Vec4i& v : defects[i])
{
float depth = v[3] / 256;
if (depth > 10) // filter defects by depth, e.g more than 10
{
int startidx = v[0]; Point ptStart(Contours[i][startidx]);
int endidx = v[1]; Point ptEnd(Contours[i][endidx]);
int faridx = v[2]; Point ptFar(Contours[i][faridx]);
line(frame, ptStart, ptEnd, Scalar(0, 255, 0), 1);
line(frame, ptStart, ptFar, Scalar(0, 255, 0), 1);
line(frame, ptEnd, ptFar, Scalar(0, 255, 0), 1);
circle(frame, ptFar, 4, Scalar(0, 255, 0), 2);
}
}
}
Complete code
#include <opencv2opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
Mat img, frame, img2, img3;
VideoCapture cam(0);
while (true){
cam.read(frame);
cvtColor(frame, img, CV_BGR2HSV);
//thresholding
inRange(img, Scalar(0, 143, 86), Scalar(39, 255, 241), img2);
imshow("hi", img2);
//finding contours
vector<vector<Point>> Contours;
vector<Vec4i> hier;
//morphological transformations
erode(img2, img2, getStructuringElement(MORPH_RECT, Size(3, 3)));
erode(img2, img2, getStructuringElement(MORPH_RECT, Size(3, 3)));
dilate(img2, img2, getStructuringElement(MORPH_RECT, Size(8, 8)));
dilate(img2, img2, getStructuringElement(MORPH_RECT, Size(8, 8)));
//finding the contours required
findContours(img2, Contours, hier, CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, Point(0, 0));
//finding the contour of largest area and storing its index
int lrgctridx = 0;
int maxarea = 0;
for (int i = 0; i < Contours.size(); i++)
{
double a = contourArea(Contours[i]);
if (a> maxarea)
{
maxarea = a;
lrgctridx = i;
}
}
//convex hulls
vector<vector<Point> >hull(Contours.size());
vector<vector<int> > hullsI(Contours.size());
vector<vector<Vec4i>> defects(Contours.size());
for (int i = 0; i < Contours.size(); i++)
{
convexHull(Contours[i], hull[i], false);
convexHull(Contours[i], hullsI[i], false);
if(hullsI[i].size() > 3 )
{
convexityDefects(Contours[i], hullsI[i], defects[i]);
}
}
//REQUIRED contour is detected,then convex hell is found and also convexity defects are found and stored in defects
if (maxarea>100){
drawContours(frame, hull, lrgctridx, Scalar(2555, 0, 255), 3, 8, vector<Vec4i>(), 0, Point());
/// Draw convexityDefects
for(int j=0; j<defects[lrgctridx].size(); ++j)
{
const Vec4i& v = defects[lrgctridx][j];
float depth = v[3] / 256;
if (depth > 10) // filter defects by depth
{
int startidx = v[0]; Point ptStart(Contours[lrgctridx][startidx]);
int endidx = v[1]; Point ptEnd(Contours[lrgctridx][endidx]);
int faridx = v[2]; Point ptFar(Contours[lrgctridx][faridx]);
line(frame, ptStart, ptEnd, Scalar(0, 255, 0), 1);
line(frame, ptStart, ptFar, Scalar(0, 255, 0), 1);
line(frame, ptEnd, ptFar, Scalar(0, 255, 0), 1);
circle(frame, ptFar, 4, Scalar(0, 255, 0), 2);
}
}
}
imshow("output", frame);
char key = waitKey(33);
if (key == 27) break;
}
}