My idea was to implement a simple square detection using openCV & C++ (objc++)
. I've already extracted the biggest areas of the image like you can see below (the colored ones) but now I'd like to extract the corner points (like TopLeft, TopRight, BottomLeft, BottomRight)
of all the areas to afterwards check if the distance between the 4 corners is similar on each of them or the angle between the lines is nearly 45°.
See the images I was talking about:
However - I got to this point where I've tried to extract the areas corner points to get something like this afterwards:
This was my first idea how to get the 4 corner points (See the steps below):
1.calculate the contours center by
for (int i=0; i<contourPoints.size(); i++) {
avgx += contourPoints[i].x;
avgy += contourPoints[i].y;
}
avgx/=contourPoints.size(); // centerx
avgy/=contourPoints.size(); // centery
2.loop trough all contour points to get the points with the highest distance to the center --> Probably the corners if the contour is a square/rectangle
for (int i=0; i<contourPoints.size(); i++) {
dx = abs(avgx - contourPoints[i].x);
dy = abs(avgy - contourPoints[i].y);
dist = sqrt( dx*dx + dy*dy );
distvector.push_back(dist);
}
// sort distvector > distvector and get 4 corners with highest distance to the center -> hopefully the corners.
This procedure was my idea but I'm pretty sure there must be a better way to detect squares and extract it's corner points using just the given contour coordinates.
So any help how to improve my code to get a way better & more efficient detection would be very appreciated. Thanks a million in advance, Tempi.