I have 2 contours A and B and I want to check if they intersect. Both A and B are vectors of type cv::Point and are of different sizes
To check for intersection, I was attempting to do a bitwise_and. This is throwing an exception because the inputs are of different size. How do I fix this ?
The attached image should give a better idea about the issue. The car is tracked by a blue contour and the obstacle by a pink contour. I need to check for the intersection.
A simple but perhaps not the most efficient (??) way would be to use
drawContours to create two images: one with the contour of the car and one with the contour of the obstacle.
and them together, and any point that is still positive will be points of intersection.
Some pseudocode (I use the Python interface so wouldn't get the C++ syntax right, but it should be simple enough for you to convert):
import numpy as np # just for matrix manipulation, C/C++ use cv::Mat # find contours. contours,h = findContours( img, mode=RETR_LIST, method=CHAIN_APPROX_SIMPLE ) # Suppose this has the contours of just the car and the obstacle. # create an image filled with zeros, single-channel, same size as img. blank = np.zeros( img.shape[0:2] ) # copy each of the contours (assuming there's just two) to its own image. # Just fill with a '1'. img1 = drawContours( blank.copy(), contours, 0, 1 ) img2 = drawContours( blank.copy(), contours, 1, 1 ) # now AND the two together intersection = np.logical_and( img1, img2 ) # OR we could just add img1 to img2 and pick all points that sum to 2 (1+1=2): intersection2 = (img1+img2)==2
If I look at
intersection I will get an image that is 1 where the contours intersect and 0 everywhere else.
Alternatively you could fill in the entire contour (not just the contour but fill in the inside too) with
drawContours( blank.copy(), contours, 0, 1, thickness=-1 ) and then the
intersection image will contain the area of intersection between the contours.