Shaddox's profile - activity

After experimenting and iterating I got something working thanks to your idea. So, thank you very much.

My final intention is to build something based off this : https://www.researchgate.net/publicat...

And I'm stuck at part 3.2, with building the adjacency matrix for the corners. The figure below is to help vizualize what I'm trying to achieve.

Say I take that image of A and apply Harris to it and then use this code

# define the criteria to stop and refine the corners
ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst)
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.001)
corners = cv2.cornerSubPix(gray,np.float32(centroids),(5,5),(-1,-1),criteria)

#print corners
for i in range(1, len(corners)):
    print(corners[i])

I get a nice list of corner coordinates that looks like this :

[51.70207 62.5541 ]
[ 37.04742 100.78287]
[ 66.707726 100.73132 ]
[ 29.685337 119.28638 ]
[ 75.62286 119.49719]

For reference, the image is 106 x 189. But how can I figure out which is connected to which? I tried "walking" the image array from a corner until I run into another but this doesn't cover cases where there are multiple. I also thought about how I can iterate over each corner and see if I can connect to others, but since they're part of the same line they will always be able to connect.

Any advice is appreciated.

Building an adjacency matrix from Harris CD output My final intention is to build something based off this : https://www

Building an adjacency matrix from Harris CD output My final intention is to build something based off this : https://www