python 标定相机 检测圆点

import cv2
import numpy as np

w = 4
h = 11
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)

def find_corners(img):
    # gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    params = cv2.SimpleBlobDetector_Params()
    params.maxArea = 10000
    params.minArea = 0.01
    params.minDistBetweenBlobs = 0.01
    blobDetector = cv2.SimpleBlobDetector_create(params)
    ret, corners = cv2.findCirclesGrid(img, (w, h), cv2.CALIB_CB_ASYMMETRIC_GRID, blobDetector, None)
    if ret:
        cv2.cornerSubPix(img, corners, (w, h), (1, 1), criteria)
        # cv2.find4QuadCornerSubpix(img, corners, (w, h))
        return corners
    return None


# img = cv2.imread("circles/Snap_001.jpg",1)
img = cv2.imread("circles/calb.jpg",1)
gray_img= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
image = cv2.resize(gray_img, (img.shape[1]*2,img.shape[0]*2))

minThreshValue = 120
_, binary = cv2.threshold(gray_img, minThreshValue, 255, cv2.THRESH_BINARY)
cv2.imshow("image", binary)


corners = find_corners(binary)
# 将角点在图像上显示
cv2.drawChessboardCorners(img, (w, h), corners, corners is not None)

cv2.imshow('findCorners', img)
cv2.waitKey()
cv2.destroyAllWindows()

           

标定板

 检测结果