如何检测光学圈(空心和填充)?有没有什么方法可以概括地解决分割问题?
当我应用以下方法时,我无法检测到光学圈:
import numpy as np
import cv2
image= cv2.imread("cropped.jpg")
lower_bound = np.array([0,0,0])
upper_bound = np.array([255,255,195])
blur_factor = (3,3)
image= cv2.blur(image, blur_factor)
mask = cv2.inRange(image, lower_bound, upper_bound)
kernel = np.ones((3,3),np.uint8)
closing = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)
contours = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)[0]
contours.sort(key=lambda x:cv2.boundingRect(x)[0])
array = []
ii = 1
for c in contours:
(x,y),r = cv2.minEnclosingCircle(c)
center = (int(x),int(y))
r = int(r)
if r >= 12 and r<=15:
cv2.circle(image,center,r,(0,255,0),2)
array.append(center)
for i in array:
text_color = (0, 0, 255)
cv2.putText(image, str(ii), i, cv2.FONT_HERSHEY_SIMPLEX, 0.5, text_color, 2)
ii = ii + 1
cv2.imshow("masked",mask)
cv2.imshow("circled",image)
cv2.waitKey(0)