I'm trying to extract the coordinates of the lines as depicted in the picture, but the retrieved coordinates are not ordered (either from left-right or bottom-top). Is there a way to do it? Input image Output image using goodFeaturesToTrack I would like to acknowledge @Jeru Luke , @Baraa and @stateMachine for their privous answers in this regard.
I tried the following:
x_corners = cv2.goodFeaturesToTrack(h_BeamsCopy, None, 0.01, 10) # None: find all the corners
x_corners = np.int0(x_corners)
for i, hcorner enumerate(x_corners):
xh, yh = hcorner.ravel()
cv2.circle(h_BeamsCopy, (xh, yh), 5, (255,100,0), -1)
cv2.putText(h_BeamsCopy, str(i), (int(xh), int(yh)), font, 0.5, (255, 255, 255), 1)
I expected the retrieved points would be ordered from bottom-top and left-right as illustrated in the following picture: Expected result
Ordering of goodFeaturesToTrack is explained in the docs:
The remaining corners are sorted by the quality measure in the descending order.
You can sort them yourself based on position:
x_corners = cv2.goodFeaturesToTrack(h_BeamsCopy, None, 0.01, 10) # None: find all the corners
x_corners = np.int0(x_corners)
# Flatten to x,y
corners = (corner.ravel() for corner in x_corners)
# Sort according to your pic (down-up, left-right -> y=0 is top, x=0 is left)
# y-axis is turned negative to use ascending sort in our favor
corners = sorted(corners, key=lambda c: (-1 * c[1], c[0]))
Sample output:
>>> corners = [(2,5), (7,4), (849,590), (2, 590)]
>>> sorted(corners, key=lambda c: (-1 * c[1], c[0]))
[(2, 590), (849, 590), (2, 5), (7, 4)]