我尝试使用功能cv2.HoughCircles,但是它无法检测到纸上的手绘圆圈。有人可以帮我吗?
import numpy as np
import imutils
import cv2
image = cv2.imread("images/136_5cm.png")[enter[enter image description here][1] image description here][1]
output = image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
#gray = cv2.GaussianBlur(gray, (5, 5), 0)
# detect circles in the image
print('hello')
circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1.4 ,100,)
# ensure at least some circles were found
if circles is not None:
# convert the (x, y) coordinates and radius of the circles to integers
circles = np.round(circles[0, :]).astype("int")
print(circles)
# loop over the (x, y) coordinates and radius of the circles
for (x, y, r) in circles:
# draw the circle in the output image, then draw a rectangle
# corresponding to the center of the circle
cv2.circle(output, (x, y), r, (0, 255, 0), thickness=4, lineType=8, shift=0)
cv2.rectangle(output, (x - 5, y - 5), (x + 5, y + 5), (0, 128, 255), -1)
# show the output image
cv2.imshow("output", np.hstack([image, output]))
cv2.waitKey(0)