Python+OpenCV实现图片中的圆形检测
效果展示
中心的三个没检测到
import cv2
import numpy as np
import matplotlib.pyplot as plt
w = 20
h = 5
params = cv2.SimpleBlobDetector_Params()
# Setup SimpleBlobDetector parameters.
print("params")
print(params)
print(type(params))
# Filter by Area.
params.filterByArea = True
params.minArea = 10e1
params.maxArea = 10e3
params.minDistBetweenBlobs = 25
# params.filterByColor = True
params.filterByConvexity = False
# tweak these as you see fit
# Filter by Circularity
# params.filterByCircularity = False
# params.minCircularity = 0.2
# params.blobColor = 0
# # # Filter by Convexity
# params.filterByConvexity = True
# params.minConvexity = 0.87
# Filter by Inertia
# params.filterByInertia = True
# params.filterByInertia = False
# params.minInertiaRatio = 0.01
# img = cv2.imread("circles/circels.jpg",1)
img = cv2.imread("circles/Snap_001.jpg",1)
gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# Detect blobs.
# image = cv2.resize(gray_img, (int(img.shape[1]/4),int(img.shape[0]/4)), 1, 1, cv2.INTER_LINEAR)
# image = cv2.resize(gray_img, dsize=None, fx=0.25, fy=0.25, interpolation=cv2.INTER_LINEAR)
minThreshValue = 120
_, gray = cv2.threshold(gray, minThreshValue, 255, cv2.THRESH_BINARY)
gray = cv2.resize(gray, dsize=None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)
# plt.imshow(gray)
# cv2.imshow("gray",gray)
detector = cv2.SimpleBlobDetector_create(params)
keypoints = detector.detect(gray)
print(len(keypoints))
fig = plt.figure()
# im_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (0, 0, 255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
im_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (0, 0, 255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
plt.imshow(cv2.cvtColor(im_with_keypoints, cv2.COLOR_BGR2RGB),interpolation="bicubic")
fname = "key points"
titlestr = "%s found %d keypoints" % (fname, len(keypoints))
plt.title(titlestr)
plt.show()
# cv2.imshow("graykey",gray)
# cv2.waitKey()
fig.canvas.set_window_title(titlestr)
ret, corners = cv2.findCirclesGrid(gray, (w, h), flags=(cv2.CALIB_CB_SYMMETRIC_GRID + cv2.CALIB_CB_CLUSTERING ), blobDetector=detector )
if corners is not None:
cv2.drawChessboardCorners(img, (w, h), corners, corners is not None)
print("find blob")
# # cv2.imshow("findCorners", img)
# cv2.waitKey()
plt.imshow(img)
plt.show()以上就是Python+OpenCV实现图片中的圆形检测的详细内容,更多关于Python OpenCV圆形检测的资料请关注脚本之家其它相关文章!
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