소개

Harris Corner Detection Method

import cv2
import numpy as np


image= cv2.imread('Rectangles.png')
gray= cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

gray= np.float32(gray)

harris_corners= cv2.cornerHarris(gray, 3, 3, 0.05)

kernel= np.ones((7,7), np.uint8)

harris_corners= cv2.dilate(harris_corners, kernel, iterations= 2)


image[harris_corners > 0.025 * harris_corners.max()]= [255,127,127]

cv2.imwrite('Corner_detected_rectangles.png', image)
cv2.imshow('Harris Corners', image)
cv2.waitKey(0)
cv2.destroyAllWindows()

goodFeaturesToTrack Detection Method

import cv2

img= cv2.imread('Rectangles.png')
gray= cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

corners= cv2.goodFeaturesToTrack(gray, 100, 0.01, 50)

for corner in corners:
    x,y= corner[0]
    x= int(x)
    y= int(y)
    cv2.rectangle(img, (x-10,y-10),(x+10,y+10),(255,0,0),-1)


cv2.imwrite('Corner_detected_rectangles.png', img)
cv2.imshow("goodFeaturesToTrack Corner Detection", img)
cv2.waitKey()
cv2.destroyAllWindows()

참고