Hey everyone! Just curious about what the best route to solve this problem might be, as I’m new to OpenCV and am not familiar with all the functions quite yet.
I have a webcam that takes a 1280x720 image. I am trying to get an image of a piece of metal on a wood background and detect the edges/corners of it.
Here’s an example of an image I’m using:
What I’ve tried already is grayscaling the image thresholding it, doing a slight Gaussian blur to eliminate some noise, then detecting contours and approximating polygons from that. I’ve also tried switching to adaptive thresholding. The contours end up discontinuous, though. Here’s the result of that:
The issue is I’m kind of stuck now. What other steps should I include to isolate the edges?
