I am trying to input the image, L shaped image in black:
into my Python code and receive back the coordinates of each corner. I get confused with the pixel approach of cv2 and am trying to figure out a way to create two arrays, x and y, of the corners. Examples for this shape could return:
x = [1, 3, 3, 9, 9, 2, 2, 1]
y = [1, 1, 9, 9, 11, 11, 10, 10]
I followed this tutorial to achieve a corner detection:
import numpy as np
import cv2
img = cv2.imread('test.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
gray = np.float32(gray)
corners = cv2.goodFeaturesToTrack(gray, 100, 0.01, 10)
corners = np.int0(corners)
for corner in corners:
x,y = corner.ravel()
#x and y are your values of the lsit
cv2.circle(img,(x,y),3,255,-1)
cv2.imshow('Corner',img)
cv2.waitKey()
This result looks like this:
The Blue dots are the corners.
